Delving deep into Generative Adversarial Networks (GANs)

Real2code: Reconstruct Articulated Objects via Code Generation

GitHub_Link (https://github.com/MandiZhao/real2code)

4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations

GitHub_Link (https://github.com/eth-ait/4d-dress)

텍스트로 동영상을 만들어보세요.

https://twitter.com/taziku_co/status/1736163456196468956 https://huggingface.co/papers/2312.09109

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

한장의 캐릭터 이미지와 포즈 애니메이션을 주면 아주 "일관된" 캐릭터 애니메이션이 생성됩니다. proj: https://humanaigc.github.io/animate-anyone/ abs: https://arxiv.org/abs/2311.17117

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

DragGAN 에 이어 이를 Diffusion 모델에도 적용한 DragDiffusion 이 나왔습니다. DragGAN과 마찬가지로 이미지의 한 점을 움직이는 방식으로 생성 이미지의 편집이 가능합니다.

논문 https://arxiv.org/abs//2306.14435

정밀하고 제어 가능한 이미지 편집은 상당한 주목을 받고 있는 까다로운 작업입니다. 최근 DragGAN은 인터랙티브한 포인트 기반 이미지 편집 프레임워크를 구현하고 픽셀 수준의 정밀도로 인상적인 편집 결과를 얻을 수 있습니다. 그러나 이 방법은 생성적 적대 신경망(GAN)을 기반으로 하기 때문에 미리 학습된 GAN 모델의 용량에 따라 일반성이 상한선이 정해져 있습니다. 이 연구에서는 이러한 편집 프레임워크를 확산 모델로 확장하여 DragDiffusion을 제안합니다. 사전 학습된 대규모 확산 모델을 활용함으로써 실제 시나리오에서 인터랙티브 포인트 기반 편집의 적용 가능성을 크게 향상시킵니다. 기존의 대부분의 확산 기반 이미지 편집 방법은 텍스트 임베딩에서 작동하는 반면, DragDiffusion은 확산 잠재력을 최적화하여 정밀한 공간 제어를 달성합니다. 확산 모델은 반복적인 방식으로 이미지를 생성하지만, 한 단계에서 확산 잠재력을 최적화하는 것만으로도 일관된 결과를 생성할 수 있으며, 이를 통해 고품질 편집을 효율적으로 완료할 수 있음을 경험적으로 보여줍니다. 여러 오브젝트, 다양한 오브젝트 카테고리, 다양한 스타일 등 까다로운 다양한 사례에 대한 광범위한 실험을 통해 DragDiffusion의 다목적성과 범용성을 입증했습니다.

project : https://vcai.mpi-inf.mpg.de/projects/DragGAN/
github : https://github.com/XingangPan/DragGAN

MusicGen: Simple and Controllable Music Generation (Meta, 2023.6)

text-to-music, by Meta(facebook)
paper: https://arxiv.org/abs/2306.05284
github : https://github.com/facebookresearch/audiocraft

조건부 음악 생성이라는 과제를 해결합니다. 압축된 이산 음악 표현, 즉 토큰의 여러 스트림에서 작동하는 단일 언어 모델(LM)인 MusicGen을 소개합니다. 이전 작업과 달리 MusicGen은 효율적인 토큰 인터리빙 패턴과 함께 단일 단계 트랜스포머 LM으로 구성되므로 계층적 또는 업샘플링과 같은 여러 모델을 캐스케이딩할 필요가 없습니다. 이러한 접근 방식에 따라, 뮤직젠이 텍스트 설명이나 멜로디 특징에 따라 고품질 샘플을 생성하는 동시에 생성된 출력을 더 잘 제어할 수 있는 방법을 시연합니다. 자동 및 인간 연구를 모두 고려한 광범위한 경험적 평가를 수행하여 제안된 접근 방식이 표준 텍스트-음악 벤치마크에서 평가된 기준선보다 우수하다는 것을 보여줍니다. 절제 연구를 통해 뮤직젠을 구성하는 각 구성 요소의 중요성을 조명합니다. 음악 샘플은 보충 자료에서 확인할 수 있습니다.

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

Background

Generative models are models that can learn to create data that is similar to data that we give them. One of the most promising approaches of those models are Generative Adversarial Networks (GANs), a branch of unsupervised machine learning implemented by a system of two neural networks competing against each other in a zero-sum game framework. They were first introduced by Ian Goodfellow et al. in 2014. This repository aims at presenting an elaborate list of the state-of-the-art works on the field of Generative Adversarial Networks since their introduction in 2014.

InstructPix2Pix by University of California, Berkeley Learning to Follow Image Editing Instructions.

Code https://huggingface.co/timbrooks/instruct-pix2pix#example Project https://www.timothybrooks.com/instruct-pix2pix/ For more: https://www.linkedin.com/in/ibrahim-sobh-phd-8681757/

🔗 Contents

[ Desnapify](Desnapify is a deep convolutional generative adversarial network (DCGAN) trained to remove Snapchat filters from selfie images.GitHub by Inderpreet Singh: https://github.com/ipsingh06/ml-desnapify) #artificialintelligence #deeplearning #generativeadversarialnetworks #machinelearning #technologydeep convolutional generative adversarial network (DCGAN) trained to remove Snapchat filters from selfie images.

GitHub by Inderpreet Singh: https://github.com/ipsingh06/ml-desnapify

UCSD and NVIDIA AI Researchers Propose ‘CoordGAN’: a Novel Disentangled GAN Mode That Produces Dense Correspondence Maps Represented by a Novel Coordinate Space Paper: https://arxiv.org/pdf/2203.16521.pdf Project: https://jitengmu.github.io/CoordGAN/

#artificialintelligence #deeplearning #generativeadversarialnetworks #machinelearning #technology

Opening Publication
Latest paper from Ian Goodfellow
Papers
Theory
Presentations
Courses
Code / Resources / Models
Frameworks & Libraries

In The Latest AI Research, CMU And Adobe Researchers Propose An Elegant Emsembling Mechanism For GAN Training That Improves FID by 1.5x to 2x On The Given Dataset

Paper: https://arxiv.org/pdf/2112.09130.pdf Github: https://github.com/nupurkmr9/vision-aided-gan Project: https://www.cs.cmu.edu/~vision-aided-gan/

📌 Opening Publication

Generative Adversarial Nets (GANs) (2014) [pdf] [presentation] [code] [video]

🔥 Latest paper from Ian Goodfellow

Self-Attention Generative Adversarial Networks (SAGAN) (2018) [pdf] [PyTorch implementation]

📋 Papers (Descending order based on Google Scholar Citations)

S/N	Paper	Year	Citations
1	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (DCGANs) [pdf]	2015	1534
2	Explaining and Harnessing Adversarial Examples [pdf]	2014	895
3	Improved Techniques for Training GANs [pdf]	2016	748
4	📈 Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) [pdf]	2016	706
5	📈 Wasserstein GAN (WGAN) [pdf]	2017	587
6	📈 Conditional Generative Adversarial Nets (CGAN) [pdf]	2014	566
7	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (LAPGAN) [pdf]	2015	564
8	📈 Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (SRGAN) [pdf]	2016	549
9	Semi-Supervised Learning with Deep Generative Models [pdf]	2014	494
10	📈 Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN) [pdf]	2017	438
11	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [pdf]	2016	394
12	Context Encoders: Feature Learning by Inpainting [pdf]	2016	390
13	Generative Adversarial Text to Image Synthesis [pdf]	2016	368
14	📈 Improved Training of Wasserstein GANs (WGAN-GP) [pdf]	2017	331
15	Deep multi-scale video prediction beyond mean square error [pdf]	2015	301
16	Adversarial Autoencoders [pdf]	2015	277
17	Energy-based Generative Adversarial Network (EBGAN) [pdf]	2016	238
18	Autoencoding beyond pixels using a learned similarity metric (VAE-GAN) [pdf]	2015	233
19	📈 Conditional Image Generation with PixelCNN Decoders [pdf]	2015	231
20	Towards Principled Methods for Training Generative Adversarial Networks [pdf]	2017	229
21	Adversarial Feature Learning (BiGAN) [pdf]	2016	224
22	📈 Stacked Generative Adversarial Networks (SGAN) [pdf]	2016	215
23	📈 StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [pdf]	2017	214
24	Adversarially Learned Inference (ALI) [pdf]	2016	211
25	📈 Conditional Image Synthesis with Auxiliary Classifier GANs (AC-GAN) [pdf]	2016	202
26	📈 Learning from Simulated and Unsupervised Images through Adversarial Training (SimGAN) by Apple [pdf]	2016	192
27	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [pdf]	2016	186
28	Generating Videos with Scene Dynamics (VGAN) [pdf]	2016	179
29	Generative Visual Manipulation on the Natural Image Manifold (iGAN) [pdf]	2016	172
30	📈 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (3D-GAN) [pdf]	2016	171
31	Generative Moment Matching Networks [pdf]	2015	167
32	📈 Coupled Generative Adversarial Networks (CoGAN) [pdf]	2016	162
33	📈 BEGAN: Boundary Equilibrium Generative Adversarial Networks [pdf]	2017	162
34	Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples [pdf]	2016	161
35	Generating Images with Perceptual Similarity Metrics based on Deep Networks [pdf]	2016	151
36	📈 Improving Variational Inference with Inverse Autoregressive Flow [pdf]	2016	150
37	Unsupervised Learning for Physical Interaction through Video Prediction [pdf]	2016	146
38	Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks (CatGAN) [pdf]	2015	141
39	Learning to Discover Cross-Domain Relations with Generative Adversarial Networks (DiscoGAN) [pdf]	2017	135
40	Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks (MGAN) [pdf]	2016	130
41	SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [pdf]	2016	125
42	Generative Adversarial Imitation Learning [pdf]	2016	123
43	📈 Adversarial Discriminative Domain Adaptation [pdf]	2017	123
44	Generative Image Modeling using Style and Structure Adversarial Networks (S^2GAN) [pdf]	2016	121
45	Unsupervised Cross-Domain Image Generation (DTN) [pdf]	2016	116
46	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks [pdf]	2016	99
47	Least Squares Generative Adversarial Networks (LSGAN) [pdf]	2016	98
48	Semantic Image Inpainting with Perceptual and Contextual Losses [pdf]	2016	98
49	Conditional generative adversarial nets for convolutional face generation [pdf]	2014	95
50	StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [pdf]	2016	90
51	Mode Regularized Generative Adversarial Networks [pdf]	2016	89
52	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [pdf]	2017	87
53	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space (PPGN) [pdf]	2016	85
54	DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [pdf]	2017	85
55	Training generative neural networks via Maximum Mean Discrepancy optimization [pdf]	2015	82
56	Generating images with recurrent adversarial networks [pdf]	2016	81
57	Semantic Segmentation using Adversarial Networks [pdf]	2016	81
58	Learning What and Where to Draw (GAWWN) [pdf]	2016	77
59	Amortised MAP Inference for Image Super-resolution (AffGAN) [pdf]	2016	75
60	Generalization and Equilibrium in Generative Adversarial Nets (GANs) [pdf]	2017	74
61	VIME: Variational Information Maximizing Exploration [pdf]	2016	70
62	Disentangled Representation Learning GAN for Pose-Invariant Face Recognition [pdf]	2017	70
63	Neural Photo Editing with Introspective Adversarial Networks (IAN) [pdf]	2016	63
64	Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks [pdf]	2017	63
65	Learning in Implicit Generative Models [pdf]	2016	62
66	Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis (TP-GAN) [pdf]	2017	60
67	On the Quantitative Analysis of Decoder-Based Generative Models [pdf]	2016	59
68	Invertible Conditional GANs for image editing (IcGAN) [pdf]	2016	57
69	Unrolled Generative Adversarial Networks (Unrolled GAN) [pdf]	2016	56
70	Attend, infer, repeat: Fast scene understanding with generative models [pdf]	2016	55
71	Pixel-Level Domain Transfer [pdf]	2016	54
72	SEGAN: Speech Enhancement Generative Adversarial Network [pdf]	2017	45
73	MMD GAN: Towards Deeper Understanding of Moment Matching Network [pdf]	2017	42
74	Learning a Driving Simulator [pdf]	2016	41
75	Image De-raining Using a Conditional Generative Adversarial Network (ID-CGAN) [pdf]	2017	40
76	Face Aging With Conditional Generative Adversarial Networks [pdf]	2017	39
77	📈 Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (AnoGAN) [pdf]	2017	39
78	Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities (LS-GAN) [pdf]	2017	38
79	Adversarial Attacks on Neural Network Policies [pdf]	2017	37
80	AdaGAN: Boosting Generative Models [pdf]	2017	37
81	Triple Generative Adversarial Nets (Triple-GAN) [pdf]	2017	37
82	Semantic Image Inpainting with Deep Generative Models [pdf]	2017	37
83	A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection [pdf]	2017	36
84	Adversarial Examples for Semantic Segmentation and Object Detection [pdf]	2017	35
85	Generative face completion [pdf]	2016	34
86	Age Progression / Regression by Conditional Adversarial Autoencoder [pdf]	2017	32
87	The Space of Transferable Adversarial Examples [pdf]	2017	32
88	Learning to Protect Communications with Adversarial Neural Cryptography [pdf]	2016	31
89	Perceptual Generative Adversarial Networks for Small Object Detection [pdf]	2017	30
90	Temporal Generative Adversarial Nets (TGAN) [pdf]	2016	29
91	Towards Large-Pose Face Frontalization in the Wild [pdf]	2016	29
92	Boundary-Seeking Generative Adversarial Networks (BS-GAN) [pdf]	2017	28
93	McGan: Mean and Covariance Feature Matching GAN [pdf]	2017	28
94	The Cramer Distance as a Solution to Biased Wasserstein Gradients [pdf]	2017	28
95	SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [pdf]	2016	28
96	MoCoGAN: Decomposing Motion and Content for Video Generation [pdf]	2017	27
97	Imitating Driver Behavior with Generative Adversarial Networks [pdf]	2017	27
98	A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [pdf]	2016	26
99	Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN (MalGAN) [pdf]	2016	26
100	Maximum-Likelihood Augmented Discrete Generative Adversarial Networks [pdf]	2017	26
101	Neural Face Editing with Intrinsic Image Disentangling [pdf]	2017	26
102	Pose Guided Person Image Generation [pdf]	2017	26
103	Good Semi-supervised Learning that Requires a Bad GAN [pdf]	2017	25
104	Connecting Generative Adversarial Networks and Actor-Critic Methods [pdf]	2016	24
105	LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation [pdf]	2017	24
106	On Convergence and Stability of GANs [pdf]	2017	23
107	C-RNN-GAN: Continuous recurrent neural networks with adversarial training [pdf]	2016	22
108	Towards Diverse and Natural Image Descriptions via a Conditional GAN [pdf]	2017	22
109	Full Resolution Image Compression with Recurrent Neural Networks [pdf]	2016	21
110	Recurrent Topic-Transition GAN for Visual Paragraph Generation (RTT-GAN) [pdf]	2017	21
111	Multi-View Image Generation from a Single-View [pdf]	2016	21
112	Adversarial Transformation Networks: Learning to Generate Adversarial Examples [pdf]	2017	21
113	Simple Black-Box Adversarial Perturbations for Deep Networks [pdf]	2016	21
114	Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI [pdf]	2017	21
115	RenderGAN: Generating Realistic Labeled Data [pdf]	2016	21
116	Stabilizing Training of Generative Adversarial Networks through Regularization [pdf]	2017	21
117	CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks [pdf]	2017	20
118	Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks [pdf]	2017	19
119	📈 Gradient descent GAN optimization is locally stable [pdf]	2017	19
120	Adversarial Training Methods for Semi-Supervised Text Classification [pdf]	2016	18
121	Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks (SSL-GAN) [pdf]	2016	18
122	Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation [pdf]	2017	18
123	Multi-Agent Diverse Generative Adversarial Networks (MAD-GAN) [pdf]	2017	18
124	ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching [pdf]	2017	18
125	Cooperative Training of Descriptor and Generator Networks [pdf]	2016	17
126	3D Shape Induction from 2D Views of Multiple Objects (PrGAN) [pdf]	2016	17
127	Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts (AL-CGAN) [pdf]	2016	17
128	Conditional CycleGAN for Attribute Guided Face Image Generation [pdf]	2017	17
129	Objective-Reinforced Generative Adversarial Networks (ORGAN) [pdf]	2017	17
130	Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models [pdf]	2017	17
131	Generative Multi-Adversarial Networks [pdf]	2016	16
132	Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks [pdf]	2017	16
133	Dual Motion GAN for Future-Flow Embedded Video Prediction [pdf]	2017	16
134	VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning () [pdf]	2017	16
135	Unsupervised Image-to-Image Translation with Generative Adversarial Networks [pdf]	2017	15
136	Improved generator objectives for GANs [pdf]	2017	15
137	DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [pdf]	2017	15
138	CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training [pdf]	2017	15
139	Improved Semi-supervised Learning with GANs using Manifold Invariances [pdf]	2017	14
140	Inverting The Generator Of A Generative Adversarial Network [pdf]	2016	14
141	Precise Recovery of Latent Vectors from Generative Adversarial Networks [pdf]	2016	14
142	Comparison of Maximum Likelihood and GAN-based training of Real NVPs [pdf]	2017	14
143	Generate To Adapt: Aligning Domains using Generative Adversarial Networks [pdf]	2017	14
144	Semantically Decomposing the Latent Spaces of Generative Adversarial Networks (SD-GAN) [pdf]	2017	14
145	Adversarial Generation of Natural Language [pdf]	2017	14
146	MAGAN: Margin Adaptation for Generative Adversarial Networks [pdf]	2017	13
147	Reconstruction of three-dimensional porous media using generative adversarial neural networks [pdf]	2017	13
148	SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation [pdf]	2017	13
149	Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks (MedGAN) [pdf]	2017	13
150	SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [pdf]	2017	13
151	📈 CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms [pdf]	2017	13
152	It Takes (Only) Two: Adversarial Generator-Encoder Networks [pdf]	2017	12
153	Generative Temporal Models with Memory [pdf]	2017	12
154	Generative Adversarial Residual Pairwise Networks for One Shot Learning [pdf]	2017	12
155	Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation [pdf]	2017	12
156	Texture Synthesis with Spatial Generative Adversarial Networks (SGAN) [pdf]	2016	12
157	Semi-Latent GAN: Learning to generate and modify facial images from attributes (SL-GAN) [pdf]	2017	12
158	Adversarial Networks for the Detection of Aggressive Prostate Cancer [pdf]	2017	12
159	Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks [pdf]	2017	12
160	Interactive 3D Modeling with a Generative Adversarial Network [pdf]	2017	11
161	Language Generation with Recurrent Generative Adversarial Networks without Pre-training [pdf]	2017	11
162	GP-GAN: Towards Realistic High-Resolution Image Blending [pdf]	2017	11
163	Universal Adversarial Perturbations Against Semantic Image Segmentation [pdf]	2017	10
164	A General Retraining Framework for Scalable Adversarial Classification [pdf]	2016	10
165	Contextual RNN-GANs for Abstract Reasoning Diagram Generation (Context-RNN-GAN) [pdf]	2016	10
166	Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective [pdf]	2017	10
167	Multi-Generator Gernerative Adversarial Nets [pdf]	2017	10
168	Optimizing the Latent Space of Generative Networks [pdf]	2017	10
169	GANs for Biological Image Synthesis [pdf]	2017	10
170	MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [pdf]	2016	10
171	📈 Deep Generative Adversarial Compression Artifact Removal [pdf]	2017	10
172	Adversarial Deep Structural Networks for Mammographic Mass Segmentation [pdf]	2017	9
173	Adversarial Training For Sketch Retrieval (SketchGAN) [pdf]	2016	9
174	Perceptual Adversarial Networks for Image-to-Image Transformation [pdf]	2017	9
175	PixelGAN Autoencoders [pdf]	2017	9
176	Unsupervised Diverse Colorization via Generative Adversarial Networks [pdf]	2017	9
177	TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [pdf]	2017	9
178	Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking (GoGAN) [pdf]	2017	8
179	From source to target and back: symmetric bi-directional adaptive GAN [pdf]	2017	8
180	Robust LSTM-Autoencoders for Face De-Occlusion in the Wild [pdf]	2016	8
181	Ensembles of Generative Adversarial Networks [pdf]	2016	8
182	Bayesian GAN [pdf]	2017	8
183	Outline Colorization through Tandem Adversarial Networks [pdf]	2017	8
184	Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [pdf]	2017	8
185	ArtGAN: Artwork Synthesis with Conditional Categorial GANs [pdf]	2017	8
186	Generative Semantic Manipulation with Contrasting GAN [pdf]	2017	8
187	Steganographic Generative Adversarial Networks [pdf]	2017	7
188	GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data [pdf]	2017	7
189	Generative Adversarial Parallelization [pdf]	2015	7
190	CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training [pdf]	2017	7
191	Automatic Liver Segmentation Using an Adversarial Image-to-Image Network [pdf]	2017	7
192	Megapixel Size Image Creation using Generative Adversarial Networks [pdf]	2017	6
193	Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN [pdf]	2017	6
194	Semantic Image Synthesis via Adversarial Learning [pdf]	2017	6
195	WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [pdf]	2017	6
196	Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [pdf]	2017	6
197	Representation Learning and Adversarial Generation of 3D Point Clouds [pdf]	2017	6
198	3D Object Reconstruction from a Single Depth View with Adversarial Learning [pdf]	2017	6
199	Abnormal Event Detection in Videos using Generative Adversarial Nets [pdf]	2017	6
200	Improved Adversarial Systems for 3D Object Generation and Reconstruction [pdf]	2017	6
201	Relaxed Wasserstein with Applications to GANs (RWGAN ) [pdf]	2017	5
202	Generative Adversarial Networks as Variational Training of Energy Based Models (VGAN) [pdf]	2017	5
203	Flow-GAN: Bridging implicit and prescribed learning in generative models [pdf]	2017	5
204	Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [pdf]	2017	5
205	Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis [pdf]	2017	5
206	ExprGAN: Facial Expression Editing with Controllable Expression Intensity [pdf]	2017	5
207	Learning Texture Manifolds with the Periodic Spatial GAN [pdf]	2017	5
208	SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks [pdf]	2017	5
209	Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks [pdf]	2017	5
210	Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces [pdf]	2017	5
211	Guiding InfoGAN with Semi-Supervision [pdf]	2017	5
212	APE-GAN: Adversarial Perturbation Elimination with GAN [pdf]	2017	5
213	Binary Generative Adversarial Networks for Image Retrieval [pdf]	2017	5
214	Message Passing Multi-Agent GANs (MPM-GAN) [pdf]	2017	4
215	Multi-view Generative Adversarial Networks (MV-BiGAN) [pdf]	2017	4
216	MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification [pdf]	2017	4
217	Associative Adversarial Networks [pdf]	2017	4
218	Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking [pdf]	2017	4
219	TextureGAN: Controlling Deep Image Synthesis with Texture Patches [pdf]	2017	4
220	On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [pdf]	2017	4
221	Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN [pdf]	2017	4
222	SeGAN: Segmenting and Generating the Invisible [pdf]	2017	3
223	Softmax GAN [pdf]	2017	3
224	Class-Splitting Generative Adversarial Networks [pdf]	2017	3
225	High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks [pdf]	2017	3
226	Generative Adversarial Structured Networks [pdf]	2017	3
227	Geometric GAN [pdf]	2017	3
228	Dualing GANs [pdf]	2017	3
229	Adversarial nets with perceptual losses for text-to-image synthesis [pdf]	2017	3
230	ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [pdf]	2017	3
231	GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks [pdf]	2017	3
232	How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis [pdf]	2017	3
233	Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks [pdf]	2017	3
234	Sharpness-aware Low dose CT denoising using conditional generative adversarial network [pdf]	2017	3
235	AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks [pdf]	2017	2
236	Generate Identity-Preserving Faces by Generative Adversarial Networks [pdf]	2017	2
237	Creatism: A deep-learning photographer capable of creating professional work [pdf]	2017	2
238	Image Generation and Editing with Variational Info Generative Adversarial Networks (ViGAN) [pdf]	2016	2
239	Supervised Adversarial Networks for Image Saliency Detection [pdf]	2017	2
240	Training Triplet Networks with GAN [pdf]	2017	2
241	Training Triplet Networks with GAN [pdf]	2017	2
242	Generative Mixture of Networks [pdf]	2017	2
243	Stopping GAN Violence: Generative Unadversarial Networks [pdf]	2016	2
244	A Classification-Based Perspective on GAN Distributions [pdf]	2017	2
245	CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning [pdf]	2017	2
246	Statistics of Deep Generated Images [pdf]	2017	2
247	Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification [pdf]	2017	2
248	Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks [pdf]	2017	2
249	Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network [pdf]	2017	2
250	Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning [pdf]	2017	2
251	Adversarial Generation of Training Examples for Vehicle License Plate Recognition [pdf]	2017	1
252	Aesthetic-Driven Image Enhancement by Adversarial Learning [pdf]	2017	1
253	Generative Adversarial Models for People Attribute Recognition in Surveillance [pdf]	2017	1
254	Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [pdf]	2017	1
255	Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks [pdf]	2017	1
256	Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images [pdf]	2017	1
257	Face Super-Resolution Through Wasserstein GANs [pdf]	2017	1
258	Continual Learning in Generative Adversarial Nets [pdf]	2017	1
259	An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [pdf]	2017	1
260	Generative Cooperative Net for Image Generation and Data Augmentation [pdf]	2017	1
261	Learning Loss for Knowledge Distillation with Conditional Adversarial Networks [pdf]	2017	1
262	Parametrizing filters of a CNN with a GAN [pdf]	2017	1
263	A step towards procedural terrain generation with GANs [pdf]	2017	1
264	Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB [pdf]	2017	1
265	Controllable Generative Adversarial Network [pdf]	2017	1
266	Learning a Generative Adversarial Network for High Resolution Artwork Synthesis [pdf]	2017	1
267	Microscopy Cell Segmentation via Adversarial Neural Networks [pdf]	2017	1
268	Neural Stain-Style Transfer Learning using GAN for Histopathological Images [pdf]	2017	1
269	Deep and Hierarchical Implicit Models (Bayesian GAN) [pdf]	2017	0
270	How to Train Your DRAGAN [pdf]	2017	0
271	Activation Maximization Generative Adversarial Nets [pdf]	2017	0
272	Generative Adversarial Nets with Labeled Data by Activation Maximization (AMGAN) [pdf]	2017	0
273	Depth Structure Preserving Scene Image Generation [pdf]	2017	0
274	Synthesizing Filamentary Structured Images with GANs [pdf]	2017	0
275	Bayesian Conditional Generative Adverserial Networks [pdf]	2017	0
276	Generative Adversarial Networks with Inverse Transformation Unit [pdf]	2017	0
277	Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks [pdf]	2017	0
278	KGAN: How to Break The Minimax Game in GAN [pdf]	2017	0
279	Linking Generative Adversarial Learning and Binary Classification [pdf]	2017	0
280	Structured Generative Adversarial Networks [pdf]	2017	0
281	Tensorizing Generative Adversarial Nets [pdf]	2017	0
282	A Novel Approach to Artistic Textual Visualization via GAN [pdf]	2017	0
283	Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data [pdf]	2017	0
284	Conditional Adversarial Network for Semantic Segmentation of Brain Tumor [pdf]	2017	0
285	Data Augmentation in Classification using GAN [pdf]	2017	0
286	Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis [pdf]	2017	0
287	Face Transfer with Generative Adversarial Network [pdf]	2017	0
288	Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets [pdf]	2017	0
289	Generative Adversarial Network based on Resnet for Conditional Image Restoration [pdf]	2017	0
290	Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network [pdf]	2017	0
291	High-Quality Face Image SR Using Conditional Generative Adversarial Networks [pdf]	2017	0
292	Improving image generative models with human interactions [pdf]	2017	0
293	Learning to Generate Chairs with Generative Adversarial Nets [pdf]	2017	0
294	Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution [pdf]	2017	0

📔 Theory

Improved Techniques for Training GANs [pdf]
Energy-Based GANs & other Adversarial things by Yann Le Cun [pdf]
Mode RegularizedGenerative Adversarial Networks [pdf]

🔩 Presentations

Generative Adversarial Networks (GANs) by Ian Goodfellow [pdf]
Learning Deep Generative Models by Russ Salakhutdinov [pdf]

📚 Courses / Tutorials / Blogs (Webpages unless other is stated)

NIPS 2016 Tutorial: Generative Adversarial Networks (2016) [pdf]
How to Train a GAN? Tips and tricks to make GANs work
Generative Models by OpenAI
MNIST Generative Adversarial Model in Keras
Image Completion with Deep Learning in TensorFlow
Attacking machine learning with adversarial examples by OpenAI
On the intuition behind deep learning & GANs—towards a fundamental understanding
SimGANs - a game changer in unsupervised learning, self driving cars, and more

📦 Resources / Models (Descending order based on GitHub stars)

S/N	Name	Repo	Stars
1	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN)	https://github.com/junyanz/CycleGAN	6383
2	📈 Image-to-image translation with conditional adversarial nets (pix2pix)	https://github.com/phillipi/pix2pix	4851
3	Image super-resolution through deep learning	https://github.com/david-gpu/srez	4801
4	Tensorflow implementation of Deep Convolutional Generative Adversarial Networks (DCGAN)	https://github.com/carpedm20/DCGAN-tensorflow	4223
5	📈 Generative Models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow	https://github.com/wiseodd/generative-models	3374
6	📈 Generative Visual Manipulation on the Natural Image Manifold (iGAN)	https://github.com/junyanz/iGAN	2775
7	Deep Convolutional Generative Adversarial Networks (DCGAN)	https://github.com/Newmu/dcgan_code	2750
8	📈 cleverhans: A library for benchmarking vulnerability to adversarial examples	https://github.com/openai/cleverhans	1939"
9	📈 Wasserstein GAN	https://github.com/martinarjovsky/WassersteinGAN	1784
10	Neural Photo Editing with Introspective Adversarial Networks	https://github.com/ajbrock/Neural-Photo-Editor	1709
11	Generative Adversarial Text to Image Synthesis	https://github.com/paarthneekhara/text-to-image	1648
12	Improved Techniques for Training GANs	https://github.com/openai/improved-gan	1345
13 📈	Improved Training of Wasserstein GANs	https://github.com/igul222/improved_wgan_training	1114
14	StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks	https://github.com/hanzhanggit/StackGAN	1091
15	Semantic Image Inpainting with Perceptual and Contextual Losses (2016)	https://github.com/bamos/dcgan-completion.tensorflow	998
16	HyperGAN	https://github.com/255bits/HyperGAN	759
17	📈 Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)	https://github.com/devnag/pytorch-generative-adversarial-networks	758
18	📈 Learning to Discover Cross-Domain Relations with Generative Adversarial Networks	https://github.com/carpedm20/DiscoGAN-pytorch	710
19	Unsupervised Cross-Domain Image Generation	https://github.com/yunjey/domain-transfer-network	652
20	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (KERAS-DCGAN)	https://github.com/jacobgil/keras-dcgan	649
21	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (The Eyescream Project)	https://github.com/facebook/eyescream	566
22	📈 Image-to-image translation using conditional adversarial nets	https://github.com/yenchenlin/pix2pix-tensorflow	548
23	Generating Videos with Scene Dynamics	https://github.com/cvondrick/videogan	537
24	Deep multi-scale video prediction beyond mean square error	https://github.com/dyelax/Adversarial_Video_Generation	454
25	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space	https://github.com/Evolving-AI-Lab/ppgn	450
26	Learning from Simulated and Unsupervised Images through Adversarial Training	https://github.com/carpedm20/simulated-unsupervised-tensorflow	448
27	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks	https://github.com/Evolving-AI-Lab/synthesizing	421
28	📈 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling	https://github.com/zck119/3dgan-release	383
29	A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection	https://github.com/xiaolonw/adversarial-frcnn	362
30	Conditional Image Synthesis With Auxiliary Classifier GANs	https://github.com/buriburisuri/ac-gan	312
31	Generating images with recurrent adversarial networks (sequence_gan)	https://github.com/ofirnachum/sequence_gan	298
32	Learning What and Where to Draw	https://github.com/reedscot/nips2016	294
33	Adversarially Learned Inference (2016) (ALI)	https://github.com/IshmaelBelghazi/ALI	248
34	Precomputed real-time texture synthesis with markovian generative adversarial networks	https://github.com/chuanli11/MGANs	235
35	Autoencoding beyond pixels using a learned similarity metric	https://github.com/andersbll/autoencoding_beyond_pixels	235
36	Unrolled Generative Adversarial Networks	https://github.com/poolio/unrolled_gan	223
37	Sampling Generative Networks	https://github.com/dribnet/plat	198
38	Energy-based generative adversarial network	https://github.com/buriburisuri/ebgan	194
39	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	https://github.com/leehomyc/Photo-Realistic-Super-Resoluton	175
40	Invertible Conditional GANs for image editing	https://github.com/Guim3/IcGAN	174
41	Pixel-Level Domain Transfer	https://github.com/fxia22/PixelDTGAN	169
42	SalGAN: Visual Saliency Prediction with Generative Adversarial Networks	https://github.com/imatge-upc/saliency-salgan-2017	164
43	Generative face completion (2017)	https://github.com/Yijunmaverick/GenerativeFaceCompletion	163
44	📈 C-RNN-GAN: Continuous recurrent neural networks with adversarial training	https://github.com/olofmogren/c-rnn-gan	151
45	Adversarial Autoencoders	https://github.com/musyoku/adversarial-autoencoder	148
46	Coupled Generative Adversarial Networks	https://github.com/mingyuliutw/CoGAN	148
47	Context Encoders: Feature Learning by Inpainting (2016)	https://github.com/jazzsaxmafia/Inpainting	108
48	Generative Image Modeling using Style and Structure Adversarial Networks (ss-gan)	https://github.com/xiaolonw/ss-gan	100
49	Conditional Generative Adversarial Nets	https://github.com/zhangqianhui/Conditional-Gans	98
50	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	https://github.com/buriburisuri/supervised_infogan	79
51	Reconstruction of three-dimensional porous media using generative adversarial neural networks	https://github.com/LukasMosser/PorousMediaGan	29
52	Improving Generative Adversarial Networks with Denoising Feature Matching	https://github.com/hvy/chainer-gan-denoising-feature-matching	15
53	Least Squares Generative Adversarial Networks	https://github.com/pfnet-research/chainer-LSGAN	9

3D-ED-GAN - Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
3D-GAN - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (github)
3D-IWGAN - Improved Adversarial Systems for 3D Object Generation and Reconstruction (github)
3D-PhysNet - 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
3D-RecGAN - 3D Object Reconstruction from a Single Depth View with Adversarial Learning (github)
ABC-GAN - ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks (github)
ABC-GAN - GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference
AC-GAN - Conditional Image Synthesis With Auxiliary Classifier GANs
acGAN - Face Aging With Conditional Generative Adversarial Networks
ACGAN - Coverless Information Hiding Based on Generative adversarial networks
acGAN - On-line Adaptative Curriculum Learning for GANs
ACtuAL - ACtuAL: Actor-Critic Under Adversarial Learning
AdaGAN - AdaGAN: Boosting Generative Models
Adaptive GAN - Customizing an Adversarial Example Generator with Class-Conditional GANs
AdvEntuRe - AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
AdvGAN - Generating adversarial examples with adversarial networks
AE-GAN - AE-GAN: adversarial eliminating with GAN
AE-OT - Latent Space Optimal Transport for Generative Models
AEGAN - Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets
AF-DCGAN - AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System
AffGAN - Amortised MAP Inference for Image Super-resolution
AIM - Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
AL-CGAN - Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
ALI - Adversarially Learned Inference (github)
AlignGAN - AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks
AlphaGAN - AlphaGAN: Generative adversarial networks for natural image matting
AM-GAN - Activation Maximization Generative Adversarial Nets
AmbientGAN - AmbientGAN: Generative models from lossy measurements (github)
AMC-GAN - Video Prediction with Appearance and Motion Conditions
AnoGAN - Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
APD - Adversarial Distillation of Bayesian Neural Network Posteriors
APE-GAN - APE-GAN: Adversarial Perturbation Elimination with GAN
ARAE - Adversarially Regularized Autoencoders for Generating Discrete Structures (github)
ARDA - Adversarial Representation Learning for Domain Adaptation
ARIGAN - ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
ArtGAN - ArtGAN: Artwork Synthesis with Conditional Categorial GANs
ASDL-GAN - Automatic Steganographic Distortion Learning Using a Generative Adversarial Network
ATA-GAN - Attention-Aware Generative Adversarial Networks (ATA-GANs)
Attention-GAN - Attention-GAN for Object Transfiguration in Wild Images
AttGAN - Arbitrary Facial Attribute Editing: Only Change What You Want (github)
AttnGAN - AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks (github)
AVID - AVID: Adversarial Visual Irregularity Detection
B-DCGAN - B-DCGAN:Evaluation of Binarized DCGAN for FPGA
b-GAN - Generative Adversarial Nets from a Density Ratio Estimation Perspective
BAGAN - BAGAN: Data Augmentation with Balancing GAN
Bayesian GAN - Deep and Hierarchical Implicit Models
Bayesian GAN - Bayesian GAN (github)
BCGAN - Bayesian Conditional Generative Adverserial Networks
BCGAN - Bidirectional Conditional Generative Adversarial networks
BEAM - Boltzmann Encoded Adversarial Machines
BEGAN - BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN-CS - Escaping from Collapsing Modes in a Constrained Space
Bellman GAN - Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
BGAN - Binary Generative Adversarial Networks for Image Retrieval (github)
Bi-GAN - Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm
BicycleGAN - Toward Multimodal Image-to-Image Translation (github)
BiGAN - Adversarial Feature Learning
BinGAN - BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
BourGAN - BourGAN: Generative Networks with Metric Embeddings
BranchGAN - Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning
BRE - Improving GAN Training via Binarized Representation Entropy (BRE) Regularization (github)
BridgeGAN - Generative Adversarial Frontal View to Bird View Synthesis
BS-GAN - Boundary-Seeking Generative Adversarial Networks
BubGAN - BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images
BWGAN - Banach Wasserstein GAN
C-GAN - Face Aging with Contextual Generative Adversarial Nets
C-RNN-GAN - C-RNN-GAN: Continuous recurrent neural networks with adversarial training (github)
CA-GAN - Composition-aided Sketch-realistic Portrait Generation
CaloGAN - CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks (github)
CAN - CAN: Creative Adversarial Networks, Generating Art by Learning About Styles and Deviating from Style Norms
CapsGAN - CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
CapsuleGAN - CapsuleGAN: Generative Adversarial Capsule Network
CatGAN - Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
CatGAN - CatGAN: Coupled Adversarial Transfer for Domain Generation
CausalGAN - CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
CC-GAN - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks (github)
cd-GAN - Conditional Image-to-Image Translation
CDcGAN - Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network
CE-GAN - Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network
CFG-GAN - Composite Functional Gradient Learning of Generative Adversarial Models
CGAN - Conditional Generative Adversarial Nets
CGAN - Controllable Generative Adversarial Network
Chekhov GAN - An Online Learning Approach to Generative Adversarial Networks
ciGAN - Conditional Infilling GANs for Data Augmentation in Mammogram Classification
CinCGAN - Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
CipherGAN - Unsupervised Cipher Cracking Using Discrete GANs
ClusterGAN - ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
CM-GAN - CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
CoAtt-GAN - Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
CoGAN - Coupled Generative Adversarial Networks
ComboGAN - ComboGAN: Unrestrained Scalability for Image Domain Translation (github)
ConceptGAN - Learning Compositional Visual Concepts with Mutual Consistency
Conditional cycleGAN - Conditional CycleGAN for Attribute Guided Face Image Generation
constrast-GAN - Generative Semantic Manipulation with Contrasting GAN
Context-RNN-GAN - Contextual RNN-GANs for Abstract Reasoning Diagram Generation
CorrGAN - Correlated discrete data generation using adversarial training
Coulomb GAN - Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Cover-GAN - Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks
cowboy - Defending Against Adversarial Attacks by Leveraging an Entire GAN
CR-GAN - CR-GAN: Learning Complete Representations for Multi-view Generation
Cramèr GAN - The Cramer Distance as a Solution to Biased Wasserstein Gradients
Cross-GAN - Crossing Generative Adversarial Networks for Cross-View Person Re-identification
crVAE-GAN - Channel-Recurrent Variational Autoencoders
CS-GAN - Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
CSG - Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks
CT-GAN - CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification
CVAE-GAN - CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
CycleGAN - Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (github)
D-GAN - Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
D-WCGAN - I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification
D2GAN - Dual Discriminator Generative Adversarial Nets
D2IA-GAN - Tagging like Humans: Diverse and Distinct Image Annotation
DA-GAN - DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
DADA - DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification
DAGAN - Data Augmentation Generative Adversarial Networks
DAN - Distributional Adversarial Networks
DBLRGAN - Adversarial Spatio-Temporal Learning for Video Deblurring
DCGAN - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (github)
DE-GAN - Generative Adversarial Networks with Decoder-Encoder Output Noise
DeblurGAN - DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks (github)
DeepFD - Learning to Detect Fake Face Images in the Wild
Defense-GAN - Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (github)
Defo-Net - Defo-Net: Learning Body Deformation using Generative Adversarial Networks
DeliGAN - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data (github)
DF-GAN - Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions
DialogWAE - DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
DiscoGAN - Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
DistanceGAN - One-Sided Unsupervised Domain Mapping
DM-GAN - Dual Motion GAN for Future-Flow Embedded Video Prediction
DMGAN - Disconnected Manifold Learning for Generative Adversarial Networks
DNA-GAN - DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
DOPING - DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
dp-GAN - Differentially Private Releasing via Deep Generative Model
DP-GAN - DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text
DPGAN - Differentially Private Generative Adversarial Network
DR-GAN - Representation Learning by Rotating Your Faces
DRAGAN - How to Train Your DRAGAN (github)
Dropout-GAN - Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
DRPAN - Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
DSH-GAN - Deep Semantic Hashing with Generative Adversarial Networks
DSP-GAN - Depth Structure Preserving Scene Image Generation
DTLC-GAN - Generative Adversarial Image Synthesis with Decision Tree Latent Controller
DTN - Unsupervised Cross-Domain Image Generation
DTR-GAN - DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization
DualGAN - DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Dualing GAN - Dualing GANs
DVGAN - Human Motion Modeling using DVGANs
Dynamics Transfer GAN - Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image
E-GAN - Evolutionary Generative Adversarial Networks
EAR - Generative Model for Heterogeneous Inference
EBGAN - Energy-based Generative Adversarial Network
ecGAN - eCommerceGAN : A Generative Adversarial Network for E-commerce
ED//GAN - Stabilizing Training of Generative Adversarial Networks through Regularization
Editable GAN - Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
EGAN - Enhanced Experience Replay Generation for Efficient Reinforcement Learning
EL-GAN - EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
ELEGANT - ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
EnergyWGAN - Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation
ESRGAN - ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ExGAN - Eye In-Painting with Exemplar Generative Adversarial Networks
ExposureGAN - Exposure: A White-Box Photo Post-Processing Framework (github)
ExprGAN - ExprGAN: Facial Expression Editing with Controllable Expression Intensity
f-CLSWGAN - Feature Generating Networks for Zero-Shot Learning
f-GAN - f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
FairGAN - FairGAN: Fairness-aware Generative Adversarial Networks
Fairness GAN - Fairness GAN
FakeGAN - Detecting Deceptive Reviews using Generative Adversarial Networks
FBGAN - Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions
FBGAN - Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference
FC-GAN - Fast-converging Conditional Generative Adversarial Networks for Image Synthesis
FF-GAN - Towards Large-Pose Face Frontalization in the Wild
FGGAN - Adversarial Learning for Fine-grained Image Search
Fictitious GAN - Fictitious GAN: Training GANs with Historical Models
FIGAN - Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Fila-GAN - Synthesizing Filamentary Structured Images with GANs
First Order GAN - First Order Generative Adversarial Networks (github)
Fisher GAN - Fisher GAN
Flow-GAN - Flow-GAN: Bridging implicit and prescribed learning in generative models
FrankenGAN - rankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs
FSEGAN - Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
FTGAN - Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture
FusedGAN - Semi-supervised FusedGAN for Conditional Image Generation
FusionGAN - Learning to Fuse Music Genres with Generative Adversarial Dual Learning
FusionGAN - Generating a Fusion Image: One's Identity and Another's Shape
G2-GAN - Geometry Guided Adversarial Facial Expression Synthesis
GAAN - Generative Adversarial Autoencoder Networks
GAF - Generative Adversarial Forests for Better Conditioned Adversarial Learning
GAGAN - GAGAN: Geometry-Aware Generative Adverserial Networks
GAIA - Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
GAIN - GAIN: Missing Data Imputation using Generative Adversarial Nets
GAMN - Generative Adversarial Mapping Networks
GAN - Generative Adversarial Networks (github)
GAN Lab - GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
GAN Q-learning - GAN Q-learning
GAN-AD - Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
GAN-ATV - A Novel Approach to Artistic Textual Visualization via GAN
GAN-CLS - Generative Adversarial Text to Image Synthesis (github)
GAN-RS - Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks
GAN-SD - Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
GAN-sep - GANs for Biological Image Synthesis (github)
GAN-VFS - Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces
GAN-Word2Vec - Adversarial Training of Word2Vec for Basket Completion
GANAX - GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks
GANCS - Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
GANDI - Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples
GANG - GANGs: Generative Adversarial Network Games
GANG - Beyond Local Nash Equilibria for Adversarial Networks
GANosaic - GANosaic: Mosaic Creation with Generative Texture Manifolds
GANVO - GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
GAP - Context-Aware Generative Adversarial Privacy
GAP - Generative Adversarial Privacy
GATS - Sample-Efficient Deep RL with Generative Adversarial Tree Search
GAWWN - Learning What and Where to Draw (github)
GC-GAN - Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis
GcGAN - Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping
GeneGAN - GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data (github)
GeoGAN - Generating Instance Segmentation Annotation by Geometry-guided GAN
Geometric GAN - Geometric GAN
GIN - Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
GLCA-GAN - Global and Local Consistent Age Generative Adversarial Networks
GM-GAN - Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images
GMAN - Generative Multi-Adversarial Networks
GMM-GAN - Towards Understanding the Dynamics of Generative Adversarial Networks
GoGAN - Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
GONet - GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
GP-GAN - GP-GAN: Towards Realistic High-Resolution Image Blending (github)
GP-GAN - GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
GPU - A generative adversarial framework for positive-unlabeled classification
GRAN - Generating images with recurrent adversarial networks (github)
Graphical-GAN - Graphical Generative Adversarial Networks
GraphSGAN - Semi-supervised Learning on Graphs with Generative Adversarial Nets
GraspGAN - Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
GT-GAN - Deep Graph Translation
HAN - Chinese Typeface Transformation with Hierarchical Adversarial Network
HAN - Bidirectional Learning for Robust Neural Networks
HiGAN - Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks
HP-GAN - HP-GAN: Probabilistic 3D human motion prediction via GAN
HR-DCGAN - High-Resolution Deep Convolutional Generative Adversarial Networks
hredGAN - Multi-turn Dialogue Response Generation in an Adversarial Learning framework
IAN - Neural Photo Editing with Introspective Adversarial Networks (github)
IcGAN - Invertible Conditional GANs for image editing (github)
ID-CGAN - Image De-raining Using a Conditional Generative Adversarial Network
IdCycleGAN - Face Translation between Images and Videos using Identity-aware CycleGAN
IFcVAEGAN - Conditional Autoencoders with Adversarial Information Factorization
iGAN - Generative Visual Manipulation on the Natural Image Manifold (github)
IGMM-GAN - Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data
Improved GAN - Improved Techniques for Training GANs (github)
In2I - In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
InfoGAN - InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (github)
IntroVAE - IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
IR2VI - IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation
IRGAN - IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models
IRGAN - Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances
ISGAN - Invisible Steganography via Generative Adversarial Network
ISP-GPM - Inner Space Preserving Generative Pose Machine
Iterative-GAN - Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs (github)
IterGAN - IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
IVE-GAN - IVE-GAN: Invariant Encoding Generative Adversarial Networks
iVGAN - Towards an Understanding of Our World by GANing Videos in the Wild (github)
IWGAN - On Unifying Deep Generative Models
JointGAN - JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
JR-GAN - JR-GAN: Jacobian Regularization for Generative Adversarial Networks
KBGAN - KBGAN: Adversarial Learning for Knowledge Graph Embeddings
KGAN - KGAN: How to Break The Minimax Game in GAN
l-GAN - Representation Learning and Adversarial Generation of 3D Point Clouds
LAC-GAN - Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification
LAGAN - Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis
LAPGAN - Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (github)
LB-GAN - Load Balanced GANs for Multi-view Face Image Synthesis
LBT - Learning Implicit Generative Models by Teaching Explicit Ones
LCC-GAN - Adversarial Learning with Local Coordinate Coding
LD-GAN - Linear Discriminant Generative Adversarial Networks
LDAN - Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
LeakGAN - Long Text Generation via Adversarial Training with Leaked Information
LeGAN - Likelihood Estimation for Generative Adversarial Networks
LGAN - Global versus Localized Generative Adversarial Nets
Lipizzaner - Towards Distributed Coevolutionary GANs
LR-GAN - LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
LS-GAN - Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
LSGAN - Least Squares Generative Adversarial Networks
M-AAE - Mask-aware Photorealistic Face Attribute Manipulation
MAD-GAN - Multi-Agent Diverse Generative Adversarial Networks
MAGAN - MAGAN: Margin Adaptation for Generative Adversarial Networks
MAGAN - MAGAN: Aligning Biological Manifolds
MalGAN - Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
MaliGAN - Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
manifold-WGAN - Manifold-valued Image Generation with Wasserstein Adversarial Networks
MARTA-GAN - Deep Unsupervised Representation Learning for Remote Sensing Images
MaskGAN - MaskGAN: Better Text Generation via Filling in the ______
MC-GAN - Multi-Content GAN for Few-Shot Font Style Transfer (github)
MC-GAN - MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
McGAN - McGan: Mean and Covariance Feature Matching GAN
MD-GAN - Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
MDGAN - Mode Regularized Generative Adversarial Networks
MedGAN - Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks
MedGAN - MedGAN: Medical Image Translation using GANs
MEGAN - MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
MelanoGAN - MelanoGANs: High Resolution Skin Lesion Synthesis with GANs
memoryGAN - Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
MeRGAN - Memory Replay GANs: learning to generate images from new categories without forgetting
MGAN - Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks (github)
MGGAN - Multi-Generator Generative Adversarial Nets
MGGAN - MGGAN: Solving Mode Collapse using Manifold Guided Training
MIL-GAN - Multimodal Storytelling via Generative Adversarial Imitation Learning
MinLGAN - Anomaly Detection via Minimum Likelihood Generative Adversarial Networks
MIX+GAN - Generalization and Equilibrium in Generative Adversarial Nets (GANs)
MIXGAN - MIXGAN: Learning Concepts from Different Domains for Mixture Generation
MLGAN - Metric Learning-based Generative Adversarial Network
MMC-GAN - A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions
MMD-GAN - MMD GAN: Towards Deeper Understanding of Moment Matching Network (github)
MMGAN - MMGAN: Manifold Matching Generative Adversarial Network for Generating Images
MoCoGAN - MoCoGAN: Decomposing Motion and Content for Video Generation (github)
Modified GAN-CLS - Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm
ModularGAN - Modular Generative Adversarial Networks
MolGAN - MolGAN: An implicit generative model for small molecular graphs
MPM-GAN - Message Passing Multi-Agent GANs
MS-GAN - Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
MTGAN - MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
MuseGAN - MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks
MV-BiGAN - Multi-view Generative Adversarial Networks
N2RPP - N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients
NAN - Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
NCE-GAN - Dihedral angle prediction using generative adversarial networks
ND-GAN - Novelty Detection with GAN
NetGAN - NetGAN: Generating Graphs via Random Walks
OCAN - One-Class Adversarial Nets for Fraud Detection
OptionGAN - OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
ORGAN - Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
ORGAN - 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network
OT-GAN - Improving GANs Using Optimal Transport
PacGAN - PacGAN: The power of two samples in generative adversarial networks
PAN - Perceptual Adversarial Networks for Image-to-Image Transformation
PassGAN - PassGAN: A Deep Learning Approach for Password Guessing
PD-WGAN - Primal-Dual Wasserstein GAN
Perceptual GAN - Perceptual Generative Adversarial Networks for Small Object Detection
PGAN - Probabilistic Generative Adversarial Networks
PGD-GAN - Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
PGGAN - Patch-Based Image Inpainting with Generative Adversarial Networks
PIONEER - Pioneer Networks: Progressively Growing Generative Autoencoder
Pip-GAN - Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes
pix2pix - Image-to-Image Translation with Conditional Adversarial Networks (github)
pix2pixHD - High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs (github)
PixelGAN - PixelGAN Autoencoders
PM-GAN - PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities
PN-GAN - Pose-Normalized Image Generation for Person Re-identification
POGAN - Perceptually Optimized Generative Adversarial Network for Single Image Dehazing
Pose-GAN - The Pose Knows: Video Forecasting by Generating Pose Futures
PP-GAN - Privacy-Protective-GAN for Face De-identification
PPAN - Privacy-Preserving Adversarial Networks
PPGN - Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
PrGAN - 3D Shape Induction from 2D Views of Multiple Objects
ProGanSR - A Fully Progressive Approach to Single-Image Super-Resolution
Progressive GAN - Progressive Growing of GANs for Improved Quality, Stability, and Variation (github)
PS-GAN - Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
PSGAN - Learning Texture Manifolds with the Periodic Spatial GAN
PSGAN - PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening
PS²-GAN - High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
RadialGAN - RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
RaGAN - The relativistic discriminator: a key element missing from standard GAN
RAN - RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment (github)
RankGAN - Adversarial Ranking for Language Generation
RCGAN - Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
ReConNN - Reconstruction of Simulation-Based Physical Field with Limited Samples by Reconstruction Neural Network
Recycle-GAN - Recycle-GAN: Unsupervised Video Retargeting
RefineGAN - Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks
ReGAN - ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs (github)
RegCGAN - Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
RenderGAN - RenderGAN: Generating Realistic Labeled Data
Resembled GAN - Resembled Generative Adversarial Networks: Two Domains with Similar Attributes
ResGAN - Generative Adversarial Network based on Resnet for Conditional Image Restoration
RNN-WGAN - Language Generation with Recurrent Generative Adversarial Networks without Pre-training (github)
RoCGAN - Robust Conditional Generative Adversarial Networks
RPGAN - Stabilizing GAN Training with Multiple Random Projections (github)
RTT-GAN - Recurrent Topic-Transition GAN for Visual Paragraph Generation
RWGAN - Relaxed Wasserstein with Applications to GANs
SAD-GAN - SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks
SAGA - Generative Adversarial Learning for Spectrum Sensing
SAGAN - Self-Attention Generative Adversarial Networks
SalGAN - SalGAN: Visual Saliency Prediction with Generative Adversarial Networks (github)
SAM - Sample-Efficient Imitation Learning via Generative Adversarial Nets
sAOG - Deep Structured Generative Models
SAR-GAN - Generating High Quality Visible Images from SAR Images Using CNNs
SBADA-GAN - From source to target and back: symmetric bi-directional adaptive GAN
ScarGAN - ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans
SCH-GAN - SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
SD-GAN - Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Sdf-GAN - Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks
SEGAN - SEGAN: Speech Enhancement Generative Adversarial Network
SeGAN - SeGAN: Segmenting and Generating the Invisible
SegAN - SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
Sem-GAN - Sem-GAN: Semantically-Consistent Image-to-Image Translation
SeqGAN - SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient (github)
SeUDA - Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
SG-GAN - Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption (github)
SG-GAN - Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
SGAN - Texture Synthesis with Spatial Generative Adversarial Networks
SGAN - Stacked Generative Adversarial Networks (github)
SGAN - Steganographic Generative Adversarial Networks
SGAN - SGAN: An Alternative Training of Generative Adversarial Networks
SGAN - CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
sGAN - Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
SiftingGAN - SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro
SiGAN - SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
SimGAN - Learning from Simulated and Unsupervised Images through Adversarial Training
SisGAN - Semantic Image Synthesis via Adversarial Learning
Sketcher-Refiner GAN - Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
SketchGAN - Adversarial Training For Sketch Retrieval
SketchyGAN - SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
Skip-Thought GAN - Generating Text through Adversarial Training using Skip-Thought Vectors
SL-GAN - Semi-Latent GAN: Learning to generate and modify facial images from attributes
SLSR - Sparse Label Smoothing for Semi-supervised Person Re-Identification
SN-DCGAN - Generative Adversarial Networks for Unsupervised Object Co-localization
SN-GAN - Spectral Normalization for Generative Adversarial Networks (github)
SN-PatchGAN - Free-Form Image Inpainting with Gated Convolution
Sobolev GAN - Sobolev GAN
Social GAN - Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Softmax GAN - Softmax GAN
SoPhie - SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
speech-driven animation GAN - End-to-End Speech-Driven Facial Animation with Temporal GANs
Spike-GAN - Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
Splitting GAN - Class-Splitting Generative Adversarial Networks
SR-CNN-VAE-GAN - Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation (github)
SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
SRPGAN - SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution
SS-GAN - Semi-supervised Conditional GANs
ss-InfoGAN - Guiding InfoGAN with Semi-Supervision
SSGAN - SSGAN: Secure Steganography Based on Generative Adversarial Networks
SSL-GAN - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
ST-CGAN - Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
ST-GAN - Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently
ST-GAN - ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
StackGAN - StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks (github)
StainGAN - StainGAN: Stain Style Transfer for Digital Histological Images
StarGAN - StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation (github)
StarGAN-VC - StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
SteinGAN - Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
StepGAN - Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation
Super-FAN - Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
SVSGAN - SVSGAN: Singing Voice Separation via Generative Adversarial Network
SWGAN - Solving Approximate Wasserstein GANs to Stationarity
SyncGAN - SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks
S^2GAN - Generative Image Modeling using Style and Structure Adversarial Networks
T2Net - T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
table-GAN - Data Synthesis based on Generative Adversarial Networks
TAC-GAN - TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network (github)
TAN - Outline Colorization through Tandem Adversarial Networks
tcGAN - Cross-modal Hallucination for Few-shot Fine-grained Recognition
TD-GAN - Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
tempCycleGAN - Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries
tempoGAN - tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow
TequilaGAN - TequilaGAN: How to easily identify GAN samples
Text2Shape - Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
textGAN - Generating Text via Adversarial Training
TextureGAN - TextureGAN: Controlling Deep Image Synthesis with Texture Patches
TGAN - Temporal Generative Adversarial Nets
TGAN - Tensorizing Generative Adversarial Nets
TGAN - Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization
TGANs-C - To Create What You Tell: Generating Videos from Captions
tiny-GAN - Analysis of Nonautonomous Adversarial Systems
TP-GAN - Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
TreeGAN - TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks
Triple-GAN - Triple Generative Adversarial Nets
tripletGAN - TripletGAN: Training Generative Model with Triplet Loss
TV-GAN - TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
Twin-GAN - Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs
UGACH - Unsupervised Generative Adversarial Cross-modal Hashing
UGAN - Enhancing Underwater Imagery using Generative Adversarial Networks
Unim2im - Unsupervised Image-to-Image Translation with Generative Adversarial Networks (github)
UNIT - Unsupervised Image-to-image Translation Networks (github)
Unrolled GAN - Unrolled Generative Adversarial Networks (github)
UT-SCA-GAN - Spatial Image Steganography Based on Generative Adversarial Network
UV-GAN - UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition
VA-GAN - Visual Feature Attribution using Wasserstein GANs
VAC+GAN - Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios
VAE-GAN - Autoencoding beyond pixels using a learned similarity metric
VariGAN - Multi-View Image Generation from a Single-View
VAW-GAN - Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks
VEEGAN - VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning (github)
VGAN - Generating Videos with Scene Dynamics (github)
VGAN - Generative Adversarial Networks as Variational Training of Energy Based Models (github)
VGAN - Text Generation Based on Generative Adversarial Nets with Latent Variable
ViGAN - Image Generation and Editing with Variational Info Generative Adversarial Networks
VIGAN - VIGAN: Missing View Imputation with Generative Adversarial Networks
VoiceGAN - Voice Impersonation using Generative Adversarial Networks
VOS-GAN - VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos
VRAL - Variance Regularizing Adversarial Learning
WaterGAN - WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
WaveGAN - Synthesizing Audio with Generative Adversarial Networks
WaveletGLCA-GAN - Global and Local Consistent Wavelet-domain Age Synthesis
weGAN - Generative Adversarial Nets for Multiple Text Corpora
WGAN - Wasserstein GAN (github)
WGAN-CLS - Text to Image Synthesis Using Generative Adversarial Networks
WGAN-GP - Improved Training of Wasserstein GANs (github)
WGAN-L1 - Subsampled Turbulence Removal Network
WS-GAN - Weakly Supervised Generative Adversarial Networks for 3D Reconstruction
X-GANs - X-GANs: Image Reconstruction Made Easy for Extreme Cases
XGAN - XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings
ZipNet-GAN - ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
α-GAN - Variational Approaches for Auto-Encoding Generative Adversarial Networks (github)
β-GAN - Annealed Generative Adversarial Networks
Δ-GAN - Triangle Generative Adversarial Networks

🔌 Frameworks & Libraries (Descending order based on GitHub stars)

Tensorflow by Google [C++ and CUDA]: [homepage] [github]
Caffe by Berkeley Vision and Learning Center (BVLC) [C++]: [homepage] [github] [Installation Instructions]
Keras by François Chollet [Python]: [homepage] [github]
Microsoft Cognitive Toolkit - CNTK [C++]: [homepage] [github]
MXNet adapted by Amazon [C++]: [homepage] [github]
Torch by Collobert, Kavukcuoglu & Clement Farabet, widely used by Facebook [Lua]: [homepage] [github]
Convnetjs by Andrej Karpathy [JavaScript]: [homepage] [github]
Theano by Université de Montréal [Python]: [homepage] [github]
Deeplearning4j by startup Skymind [Java]: [homepage] [github]
Caffe2 by Facebook Open Source [C++ & Python]: [github] [web]
Paddle by Baidu [C++]: [homepage] [github]
Deep Scalable Sparse Tensor Network Engine (DSSTNE) by Amazon [C++]: [github]
Neon by Nervana Systems [Python & Sass]: [homepage] [github]
Chainer [Python]: [homepage] [github]
h2o [Java]: [homepage] [github]
Brainstorm by Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) [Python]: [github]
Matconvnet by Andrea Vedaldi [Matlab]: [homepage] [github]

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis,

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Surfaces
Towaki Takikawa*, Joey Litalien*, Kangxue Xin, Karsten Kreis, Charles Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, and Sanja FidlerIn submission, 2021

[Paper] [Bibtex] [Project Page]

** best paper of GAN

Year	Month	Abbr.
2014 6 GAN Generative Adversarial Networks https://arxiv.org/abs/1406.2661 https://github.com/goodfeli/adversarial
2014 11 CGAN Conditional Generative Adversarial Nets https://arxiv.org/abs/1411.1784
2015 6 LAPGAN Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks https://arxiv.org/abs/1506.05751 https://github.com/facebook/eyescream
2015 11 CatGAN Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks https://arxiv.org/abs/1511.06390v2
2015 11 DCGAN Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks https://arxiv.org/abs/1511.06434 https://github.com/Newmu/dcgan_code
2015 12 VAE-GAN Autoencoding beyond pixels using a learned similarity metric https://arxiv.org/abs/1512.09300 -
2016 2 GRAN Generating images with recurrent adversarial networks https://arxiv.org/abs/1602.05110 https://github.com/jiwoongim/GRAN
2016 3 S^2GAN Generative Image Modeling using Style and Structure Adversarial Networks https://arxiv.org/abs/1603.05631v2 -
2016 4 MGAN Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks https://arxiv.org/abs/1604.04382 https://github.com/chuanli11/MGANs
2016 5 BiGAN Adversarial Feature Learning https://arxiv.org/abs/1605.09782v7 -
2016 5 GAN-CLS Generative Adversarial Text to Image Synthesis https://arxiv.org/abs/1605.05396 https://github.com/reedscot/icml2016 39 677 155
2016 6 ALI Adversarially Learned Inference https://arxiv.org/abs/1606.00704 https://github.com/IshmaelBelghazi/ALI 16 262 72
2016 6 CoGAN Coupled Generative Adversarial Networks https://arxiv.org/abs/1606.07536v2 -
2016 6 f-GAN f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization https://arxiv.org/abs/1606.00709 -
2016 6 Improved GAN Improved Techniques for Training GANs https://arxiv.org/abs/1606.03498 https://github.com/openai/improved-gan 143 1462 445
2016 6 InfoGAN InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets https://arxiv.org/abs/1606.03657v1 https://github.com/openai/InfoGAN 100 666 211
2016 7 SketchGAN Adversarial Training For Sketch Retrieval https://arxiv.org/abs/1607.02748 -
2016 9 Context-RNN-GAN Contextual RNN-GANs for Abstract Reasoning Diagram Generation https://arxiv.org/abs/1609.09444 -
2016 9 EBGAN Energy-based Generative Adversarial Network https://arxiv.org/abs/1609.03126v4 -
2016 9 IAN Neural Photo Editing with Introspective Adversarial Networks https://arxiv.org/abs/1609.07093 https://github.com/ajbrock/Neural-Photo-Editor 74 1753 152
2016 9 iGAN Generative Visual Manipulation on the Natural Image Manifold https://arxiv.org/abs/1609.03552v2 https://github.com/junyanz/iGAN 151 2984 425
2016 9 SeqGAN SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient https://arxiv.org/abs/1609.05473v5 https://github.com/LantaoYu/SeqGAN 71 1243 464
2016 9 SRGAN Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network https://arxiv.org/abs/1609.04802 -
2016 9 VGAN Generating Videos with Scene Dynamics https://arxiv.org/abs/1609.02612 https://github.com/cvondrick/videogan 34 556 114
2016 10 3D-GAN Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling https://arxiv.org/abs/1610.07584 https://github.com/zck119/3dgan-release 44 437 122
2016 10 AC-GAN Conditional Image Synthesis With Auxiliary Classifier GANs https://arxiv.org/abs/1610.09585 -
2016 10 AffGAN Amortised MAP Inference for Image Super-resolution https://arxiv.org/abs/1610.04490 -
2016 10 GAWWN Learning What and Where to Draw https://arxiv.org/abs/1610.02454 https://github.com/reedscot/nips2016 22 299 55
2016 11 b-GAN Generative Adversarial Nets from a Density Ratio Estimation Perspective https://arxiv.org/abs/1610.02920 -
2016 11 C-RNN-GAN C-RNN-GAN: Continuous recurrent neural networks with adversarial training https://arxiv.org/abs/1611.09904 https://github.com/olofmogren/c-rnn-gan/ 13 188 67
2016 11 CC-GAN Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks https://arxiv.org/abs/1611.06430 https://github.com/edenton/cc-gan 5 16 2
2016 11 DTN Unsupervised Cross-Domain Image Generation https://arxiv.org/abs/1611.02200 -
2016 11 GMAN Generative Multi-Adversarial Networks http://arxiv.org/abs/1611.01673 -
2016 11 IcGAN Invertible Conditional GANs for image editing https://arxiv.org/abs/1611.06355 https://github.com/Guim3/IcGAN 6 188 285
2016 11 LSGAN Least Squares Generative Adversarial Networks https://arxiv.org/abs/1611.04076v3 -
2016 11 MV-BiGAN Multi-view Generative Adversarial Networks https://arxiv.org/abs/1611.02019v1 -
2016 11 pix2pix Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004 https://github.com/phillipi/pix2pix 248 5260 839
2016 11 RenderGAN RenderGAN: Generating Realistic Labeled Data https://arxiv.org/abs/1611.01331 -
2016 11 SAD-GAN SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks https://arxiv.org/abs/1611.08788v1 -
2016 11 SGAN Texture Synthesis with Spatial Generative Adversarial Networks https://arxiv.org/abs/1611.08207 -
2016 11 SSL-GAN Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks https://arxiv.org/abs/1611.06430v1 -
2016 11 TGAN Temporal Generative Adversarial Nets https://arxiv.org/abs/1611.06624v1 -
2016 11 Unrolled GAN Unrolled Generative Adversarial Networks https://arxiv.org/abs/1611.02163 https://github.com/poolio/unrolled_gan 14 234 40
2016 11 VGAN Generative Adversarial Networks as Variational Training of Energy Based Models https://arxiv.org/abs/1611.01799 https://github.com/Shuangfei/vgan 3 15 10
2016 12 AL-CGAN Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts https://arxiv.org/abs/1612.00215 -
2016 12 MARTA-GAN Deep Unsupervised Representation Learning for Remote Sensing Images https://arxiv.org/abs/1612.08879 -
2016 12 MDGAN Mode Regularized Generative Adversarial Networks https://arxiv.org/abs/1612.02136 -
2016 12 MPM-GAN Message Passing Multi-Agent GANs https://arxiv.org/abs/1612.01294 -
2016 12 PPGN Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space https://arxiv.org/abs/1612.00005 -
2016 12 PrGAN 3D Shape Induction from 2D Views of Multiple Objects https://arxiv.org/abs/1612.05872 -
2016 12 SGAN Stacked Generative Adversarial Networks https://arxiv.org/abs/1612.04357v4 https://github.com/xunhuang1995/SGAN 8 202 49
2016 12 SimGAN Learning from Simulated and Unsupervised Images through Adversarial Training https://arxiv.org/abs/1612.07828 -
2016 12 StackGAN StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks https://arxiv.org/abs/1612.03242v1 https://github.com/hanzhanggit/StackGAN 59 1201 295
2016 12 textGAN Generating Text via Adversarial Training https://zhegan27.github.io/Papers/textGAN_nips2016_workshop.pdf -
2017 1 AdaGAN AdaGAN: Boosting Generative Models https://arxiv.org/abs/1701.02386v1 -
2017 1 ID-CGAN Image De-raining Using a Conditional Generative Adversarial Network https://arxiv.org/abs/1701.05957v3 -
2017 1 LAGAN Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis https://arxiv.org/abs/1701.05927 -
2017 1 LS-GAN Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities https://arxiv.org/abs/1701.06264 -
2017 1 SalGAN SalGAN: Visual Saliency Prediction with Generative Adversarial Networks https://arxiv.org/abs/1701.01081 https://github.com/imatge-upc/saliency-salgan-2017 15 180 80
2017 1 Unim2im Unsupervised Image-to-Image Translation with Generative Adversarial Networks https://arxiv.org/abs/1701.02676 http://github.com/zsdonghao/Unsup-Im2Im 7 48 12
2017 1 ViGAN Image Generation and Editing with Variational Info Generative Adversarial Networks https://arxiv.org/abs/1701.04568v1 -
2017 1 WGAN Wasserstein GAN https://arxiv.org/abs/1701.07875v2 https://github.com/martinarjovsky/WassersteinGAN 99 1939 469
2017 2 acGAN Face Aging With Conditional Generative Adversarial Networks https://arxiv.org/abs/1702.01983 -
2017 2 ArtGAN ArtGAN: Artwork Synthesis with Conditional Categorial GANs https://arxiv.org/abs/1702.03410 -
2017 2 Bayesian GAN Deep and Hierarchical Implicit Models https://arxiv.org/abs/1702.08896 -
2017 2 BS-GAN Boundary-Seeking Generative Adversarial Networks https://arxiv.org/abs/1702.08431v1 -
2017 2 MalGAN Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN https://arxiv.org/abs/1702.05983v1 -
2017 2 MaliGAN Maximum-Likelihood Augmented Discrete Generative Adversarial Networks https://arxiv.org/abs/1702.07983 -
2017 2 McGAN McGan: Mean and Covariance Feature Matching GAN https://arxiv.org/abs/1702.08398v1 -
2017 2 ST-GAN Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently https://arxiv.org/abs/1702.06762 -
2017 2 WaterGAN WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images https://arxiv.org/abs/1702.07392v1 -
2017 3 AEGAN Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets https://arxiv.org/abs/1703.10094 -
2017 3 AM-GAN Activation Maximization Generative Adversarial Nets https://arxiv.org/abs/1703.02000 -
2017 3 AnoGAN Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery https://arxiv.org/abs/1703.05921v1 -
2017 3 BEGAN BEGAN: Boundary Equilibrium Generative Adversarial Networks https://arxiv.org/abs/1703.10717 -
2017 3 CS-GAN Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets https://arxiv.org/abs/1703.04887 -
2017 3 CVAE-GAN CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training https://arxiv.org/abs/1703.10155 -
2017 3 CycleGAN Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks https://arxiv.org/abs/1703.10593 https://github.com/junyanz/CycleGAN 345 7114 1099
2017 3 DiscoGAN Learning to Discover Cross-Domain Relations with Generative Adversarial Networks https://arxiv.org/abs/1703.05192v1 -
2017 3 GP-GAN GP-GAN: Towards Realistic High-Resolution Image Blending https://arxiv.org/abs/1703.07195 https://github.com/wuhuikai/GP-GAN 6 127 29
2017 3 LR-GAN LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation https://arxiv.org/abs/1703.01560v1 -
2017 3 MedGAN Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks https://arxiv.org/abs/1703.06490v1 -
2017 3 MIX+GAN Generalization and Equilibrium in Generative Adversarial Nets (GANs) https://arxiv.org/abs/1703.00573v3 -
2017 3 RTT-GAN Recurrent Topic-Transition GAN for Visual Paragraph Generation https://arxiv.org/abs/1703.07022v2 -
2017 3 SEGAN SEGAN: Speech Enhancement Generative Adversarial Network https://arxiv.org/abs/1703.09452v1 -
2017 3 SeGAN SeGAN: Segmenting and Generating the Invisible https://arxiv.org/abs/1703.10239 -
2017 3 SGAN Steganographic Generative Adversarial Networks https://arxiv.org/abs/1703.05502 -
2017 3 TAC-GAN TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network https://arxiv.org/abs/1703.06412v2 https://github.com/dashayushman/TAC-GAN 3 36 15
2017 3 Triple-GAN Triple Generative Adversarial Nets https://arxiv.org/abs/1703.02291v2 -
2017 3 UNIT Unsupervised Image-to-image Translation Networks https://arxiv.org/abs/1703.00848 https://github.com/mingyuliutw/UNIT 55 1094 201
2017 4 DualGAN DualGAN: Unsupervised Dual Learning for Image-to-Image Translation https://arxiv.org/abs/1704.02510v1 -
2017 4 FF-GAN Towards Large-Pose Face Frontalization in the Wild https://arxiv.org/abs/1704.06244 -
2017 4 GoGAN Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking https://arxiv.org/abs/1704.04865 -
2017 4 MAD-GAN Multi-Agent Diverse Generative Adversarial Networks https://arxiv.org/abs/1704.02906 -
2017 4 MAGAN MAGAN: Margin Adaptation for Generative Adversarial Networks https://arxiv.org/abs/1704.03817v1 -
2017 4 SL-GAN Semi-Latent GAN: Learning to generate and modify facial images from attributes https://arxiv.org/abs/1704.02166 -
2017 4 Softmax GAN Softmax GAN https://arxiv.org/abs/1704.06191 -
2017 4 TAN Outline Colorization through Tandem Adversarial Networks https://arxiv.org/abs/1704.08834 -
2017 4 TP-GAN Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis https://arxiv.org/abs/1704.04086 -
2017 4 VariGAN Multi-View Image Generation from a Single-View https://arxiv.org/abs/1704.04886 -
2017 4 VAW-GAN Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks https://arxiv.org/abs/1704.00849 -
2017 4 WGAN-GP Improved Training of Wasserstein GANs https://arxiv.org/abs/1704.00028 https://github.com/igul222/improved_wgan_training 67 1277 415
2017 4 β-GAN Annealed Generative Adversarial Networks https://arxiv.org/abs/1705.07505 -
2017 5 Bayesian GAN Bayesian GAN https://arxiv.org/abs/1705.09558 https://github.com/andrewgordonwilson/bayesgan/ 53 929 148
2017 5 CaloGAN CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks https://arxiv.org/abs/1705.02355 https://github.com/hep-lbdl/CaloGAN 9 64 26
2017 5 Conditional cycleGAN Conditional CycleGAN for Attribute Guided Face Image Generation https://arxiv.org/abs/1705.09966 -
2017 5 Cramèr GAN The Cramer Distance as a Solution to Biased Wasserstein Gradients https://arxiv.org/abs/1705.10743 -
2017 5 DR-GAN Representation Learning by Rotating Your Faces https://arxiv.org/abs/1705.11136 -
2017 5 DRAGAN How to Train Your DRAGAN https://arxiv.org/abs/1705.07215 https://github.com/kodalinaveen3/DRAGAN 11 143 17
2017 5 ED//GAN Stabilizing Training of Generative Adversarial Networks through Regularization https://arxiv.org/abs/1705.09367 -
2017 5 EGAN Enhanced Experience Replay Generation for Efficient Reinforcement Learning https://arxiv.org/abs/1705.08245 -
2017 5 Fisher GAN Fisher GAN https://arxiv.org/abs/1705.09675 -
2017 5 Flow-GAN Flow-GAN: Bridging implicit and prescribed learning in generative models https://arxiv.org/abs/1705.08868 -
2017 5 GeneGAN GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data https://arxiv.org/abs/1705.04932 https://github.com/Prinsphield/GeneGAN 9 106 22
2017 5 Geometric GAN Geometric GAN https://arxiv.org/abs/1705.02894 -
2017 5 IRGAN IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models https://arxiv.org/abs/1705.10513v1 -
2017 5 MMD-GAN MMD GAN: Towards Deeper Understanding of Moment Matching Network https://arxiv.org/abs/1705.08584 https://github.com/dougalsutherland/opt-mmd 7 110 34
2017 5 ORGAN Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models https://arxiv.org/abs/1705.10843 -
2017 5 Pose-GAN The Pose Knows: Video Forecasting by Generating Pose Futures https://arxiv.org/abs/1705.00053 -
2017 5 PSGAN Learning Texture Manifolds with the Periodic Spatial GAN http://arxiv.org/abs/1705.06566 -
2017 5 RankGAN Adversarial Ranking for Language Generation https://arxiv.org/abs/1705.11001 -
2017 5 RPGAN Stabilizing GAN Training with Multiple Random Projections https://arxiv.org/abs/1705.07831 https://github.com/ayanc/rpgan 2 15 4
2017 5 RWGAN Relaxed Wasserstein with Applications to GANs https://arxiv.org/abs/1705.07164 -
2017 5 SBADA-GAN From source to target and back: symmetric bi-directional adaptive GAN https://arxiv.org/abs/1705.08824 -
2017 5 SD-GAN Semantically Decomposing the Latent Spaces of Generative Adversarial Networks https://arxiv.org/abs/1705.07904 -
2017 5 VEEGAN VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning https://arxiv.org/abs/1705.07761 https://github.com/akashgit/VEEGAN 2 11 6
2017 5 WS-GAN Weakly Supervised Generative Adversarial Networks for 3D Reconstruction https://arxiv.org/abs/1705.10904 -
2017 6 ARAE Adversarially Regularized Autoencoders for Generating Discrete Structures https://arxiv.org/abs/1706.04223 https://github.com/jakezhaojb/ARAE 17 260 62
2017 6 BCGAN Bayesian Conditional Generative Adverserial Networks https://arxiv.org/abs/1706.05477 -
2017 6 CAN "CAN: Creative Adversarial Networks, Generating Art by Learning About Styles and Deviating from Style Norms" https://arxiv.org/abs/1706.07068 -
2017 6 Chekhov GAN An Online Learning Approach to Generative Adversarial Networks https://arxiv.org/abs/1706.03269 -
2017 6 crVAE-GAN Channel-Recurrent Variational Autoencoders https://arxiv.org/abs/1706.03729 -
2017 6 DeliGAN DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data https://arxiv.org/abs/1706.02071 https://github.com/val-iisc/deligan 4 74 25
2017 6 DistanceGAN One-Sided Unsupervised Domain Mapping https://arxiv.org/abs/1706.00826 -
2017 6 DSP-GAN Depth Structure Preserving Scene Image Generation https://arxiv.org/abs/1706.00212 -
2017 6 Dualing GAN Dualing GANs https://arxiv.org/abs/1706.06216 -
2017 6 Fila-GAN Synthesizing Filamentary Structured Images with GANs https://arxiv.org/abs/1706.02185 -
2017 6 GANCS Deep Generative Adversarial Networks for Compressed Sensing Automates MRI https://arxiv.org/abs/1706.00051 -
2017 6 GMM-GAN Towards Understanding the Dynamics of Generative Adversarial Networks https://arxiv.org/abs/1706.09884 -
2017 6 IWGAN On Unifying Deep Generative Models https://arxiv.org/abs/1706.00550 -
2017 6 PAN Perceptual Adversarial Networks for Image-to-Image Transformation https://arxiv.org/abs/1706.09138 -
2017 6 Perceptual GAN Perceptual Generative Adversarial Networks for Small Object Detection https://arxiv.org/abs/1706.05274 -
2017 6 PixelGAN PixelGAN Autoencoders https://arxiv.org/abs/1706.00531 -
2017 6 RCGAN Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs https://arxiv.org/abs/1706.02633 -
2017 6 RNN-WGAN Language Generation with Recurrent Generative Adversarial Networks without Pre-training https://arxiv.org/abs/1706.01399 https://github.com/amirbar/rnn.wgan 19 205 63
2017 6 SegAN SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation https://arxiv.org/abs/1706.01805 -
2017 6 TextureGAN TextureGAN: Controlling Deep Image Synthesis with Texture Patches https://arxiv.org/abs/1706.02823 -
2017 6 α-GAN Variational Approaches for Auto-Encoding Generative Adversarial Networks https://arxiv.org/abs/1706.04987 https://github.com/victor-shepardson/alpha-GAN 2 51 17
2017 7 3D-IWGAN Improved Adversarial Systems for 3D Object Generation and Reconstruction https://arxiv.org/abs/1707.09557 https://github.com/EdwardSmith1884/3D-IWGAN 7 70 23
2017 7 AE-GAN AE-GAN: adversarial eliminating with GAN https://arxiv.org/abs/1707.05474 -
2017 7 AlignGAN AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks https://arxiv.org/abs/1707.01400 -
2017 7 APE-GAN APE-GAN: Adversarial Perturbation Elimination with GAN https://arxiv.org/abs/1707.05474 -
2017 7 ARDA Adversarial Representation Learning for Domain Adaptation https://arxiv.org/abs/1707.01217 -
2017 7 DAN Distributional Adversarial Networks https://arxiv.org/abs/1706.09549 -
2017 7 l-GAN Representation Learning and Adversarial Generation of 3D Point Clouds https://arxiv.org/abs/1707.02392 -
2017 7 LD-GAN Linear Discriminant Generative Adversarial Networks https://arxiv.org/abs/1707.07831 -
2017 7 LeGAN Likelihood Estimation for Generative Adversarial Networks https://arxiv.org/abs/1707.07530 -
2017 7 MMGAN MMGAN: Manifold Matching Generative Adversarial Network for Generating Images https://arxiv.org/abs/1707.08273 -
2017 7 MoCoGAN MoCoGAN: Decomposing Motion and Content for Video Generation https://arxiv.org/abs/1707.04993 https://github.com/sergeytulyakov/mocogan 17 180 47
2017 7 ResGAN Generative Adversarial Network based on Resnet for Conditional Image Restoration https://arxiv.org/abs/1707.04881 -
2017 7 SisGAN Semantic Image Synthesis via Adversarial Learning https://arxiv.org/abs/1707.06873 -
2017 7 ss-InfoGAN Guiding InfoGAN with Semi-Supervision https://arxiv.org/abs/1707.04487 -
2017 7 SSGAN SSGAN: Secure Steganography Based on Generative Adversarial Networks https://arxiv.org/abs/1707.01613 -
2017 7 SteinGAN Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE https://arxiv.org/abs/1707.00797 -
2017 7 VRAL Variance Regularizing Adversarial Learning https://arxiv.org/abs/1707.00309 -
2017 8 3D-RecGAN 3D Object Reconstruction from a Single Depth View with Adversarial Learning https://arxiv.org/abs/1708.07969 https://github.com/Yang7879/3D-RecGAN 8 65 27
2017 8 ABC-GAN ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks https://drive.google.com/file/d/0B3wEP_lEl0laVTdGcHE2VnRiMlE/view https://github.com/IgorSusmelj/ABC-GAN 1 4 1
2017 8 ASDL-GAN Automatic Steganographic Distortion Learning Using a Generative Adversarial Network https://ieeexplore.ieee.org/document/8017430/ -
2017 8 BGAN Binary Generative Adversarial Networks for Image Retrieval https://arxiv.org/abs/1708.04150 https://github.com/htconquer/BGAN 6 16 15
2017 8 CDcGAN Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network https://arxiv.org/abs/1708.09105 -
2017 8 CGAN Controllable Generative Adversarial Network https://arxiv.org/abs/1708.00598 -
2017 8 constrast-GAN Generative Semantic Manipulation with Contrasting GAN https://arxiv.org/abs/1708.00315 -
2017 8 Coulomb GAN Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields https://arxiv.org/abs/1708.08819 -
2017 8 DM-GAN Dual Motion GAN for Future-Flow Embedded Video Prediction https://arxiv.org/abs/1708.00284 -
2017 8 GAN-sep GANs for Biological Image Synthesis https://arxiv.org/abs/1708.04692 https://github.com/aosokin/biogans 5 82 12
2017 8 GAN-VFS Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces https://arxiv.org/abs/1708.02681 -
2017 8 MGGAN Multi-Generator Generative Adversarial Nets https://arxiv.org/abs/1708.02556 -
2017 8 PGAN Probabilistic Generative Adversarial Networks https://arxiv.org/abs/1708.01886 -
2017 8 SN-GAN Spectral Normalization for Generative Adversarial Networks https://drive.google.com/file/d/0B8HZ50DPgR3eSVV6YlF3XzQxSjQ/view https://github.com/pfnet-research/chainer-gan-lib 33 297 62
2017 8 SS-GAN Semi-supervised Conditional GANs https://arxiv.org/abs/1708.05789 -
2017 8 VIGAN VIGAN: Missing View Imputation with Generative Adversarial Networks https://arxiv.org/abs/1708.06724 -
2017 9 ARIGAN ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network https://arxiv.org/abs/1709.00938 -
2017 9 CausalGAN CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training https://arxiv.org/abs/1709.02023 -
2017 9 D2GAN Dual Discriminator Generative Adversarial Nets http://arxiv.org/abs/1709.03831 -
2017 9 ExposureGAN Exposure: A White-Box Photo Post-Processing Framework https://arxiv.org/abs/1709.09602 https://github.com/yuanming-hu/exposure 12 205 43
2017 9 ExprGAN ExprGAN: Facial Expression Editing with Controllable Expression Intensity https://arxiv.org/abs/1709.03842 -
2017 9 GAMN Generative Adversarial Mapping Networks https://arxiv.org/abs/1709.09820 -
2017 9 GraspGAN Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping https://arxiv.org/abs/1709.07857 -
2017 9 LDAN Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images https://arxiv.org/abs/1709.01993 -
2017 9 LeakGAN Long Text Generation via Adversarial Training with Leaked Information https://arxiv.org/abs/1709.08624 -
2017 9 MD-GAN Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks https://arxiv.org/abs/1709.07592 -
2017 9 MuseGAN MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks https://arxiv.org/abs/1709.06298 -
2017 9 OptionGAN OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning https://arxiv.org/abs/1709.06683 -
2017 9 PassGAN PassGAN: A Deep Learning Approach for Password Guessing https://arxiv.org/abs/1709.00440 -
2017 9 RefineGAN Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks https://arxiv.org/abs/1709.00753 -
2017 9 Splitting GAN Class-Splitting Generative Adversarial Networks https://arxiv.org/abs/1709.07359 -
2017 9 Δ-GAN Triangle Generative Adversarial Networks https://arxiv.org/abs/1709.06548 -
2017 10 CM-GAN CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning https://arxiv.org/abs/1710.05106 -
2017 10 GAN-ATV A Novel Approach to Artistic Textual Visualization via GAN https://arxiv.org/abs/1710.10553 -
2017 10 GAP Context-Aware Generative Adversarial Privacy https://arxiv.org/abs/1710.09549 -
2017 10 GP-GAN GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks https://arxiv.org/abs/1710.00962 -
2017 10 Progressive GAN "Progressive Growing of GANs for Improved Quality, Stability, and Variation" https://arxiv.org/abs/1710.10196 https://github.com/tkarras/progressive_growing_of_gans 232 3146 529
2017 10 PS²-GAN High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks https://arxiv.org/abs/1710.10182 -
2017 10 SVSGAN SVSGAN: Singing Voice Separation via Generative Adversarial Network https://arxiv.org/abs/1710.11428 -
2017 10 TGAN Tensorizing Generative Adversarial Nets https://arxiv.org/abs/1710.10772 -
2017 11 3D-ED-GAN Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks https://arxiv.org/abs/1711.06375 -
2017 11 ABC-GAN GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference https://arxiv.org/abs/1711.11139 -
2017 11 ACtuAL ACtuAL: Actor-Critic Under Adversarial Learning https://arxiv.org/abs/1711.04755 -
2017 11 AttGAN Arbitrary Facial Attribute Editing: Only Change What You Want https://arxiv.org/abs/1711.10678 https://github.com/LynnHo/AttGAN-Tensorflow 11 158 19
2017 11 AttnGAN AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks https://arxiv.org/abs/1711.10485 https://github.com/taoxugit/AttnGAN 27 420 97
2017 11 BCGAN Bidirectional Conditional Generative Adversarial networks https://arxiv.org/abs/1711.07461 -
2017 11 BicycleGAN Toward Multimodal Image-to-Image Translation https://arxiv.org/abs/1711.11586 https://github.com/junyanz/BicycleGAN 30 696 113
2017 11 CatGAN CatGAN: Coupled Adversarial Transfer for Domain Generation https://arxiv.org/abs/1711.08904 -
2017 11 CoAtt-GAN Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning https://arxiv.org/abs/1711.07613 -
2017 11 ConceptGAN Learning Compositional Visual Concepts with Mutual Consistency https://arxiv.org/abs/1711.06148 -
2017 11 Cover-GAN Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks https://arxiv.org/abs/1711.04916 -
2017 11 D-GAN Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data https://arxiv.org/abs/1711.10267 -
2017 11 DAGAN Data Augmentation Generative Adversarial Networks https://arxiv.org/abs/1711.04340 -
2017 11 DeblurGAN DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks https://arxiv.org/abs/1711.07064 https://github.com/KupynOrest/DeblurGAN 35 971 204
2017 11 DNA-GAN DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images https://arxiv.org/abs/1711.05415 -
2017 11 DRPAN Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation https://arxiv.org/abs/1711.09554 -
2017 11 FIGAN Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks https://arxiv.org/abs/1711.06045 -
2017 11 FSEGAN Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition https://arxiv.org/abs/1711.05747 -
2017 11 FTGAN Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture https://arxiv.org/abs/1711.09618 -
2017 11 GANDI Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples https://arxiv.org/abs/1711.01391 -
2017 11 GPU A generative adversarial framework for positive-unlabeled classification https://arxiv.org/abs/1711.08054 -
2017 11 HAN Chinese Typeface Transformation with Hierarchical Adversarial Network https://arxiv.org/abs/1711.06448 -
2017 11 HP-GAN HP-GAN: Probabilistic 3D human motion prediction via GAN https://arxiv.org/abs/1711.09561 -
2017 11 HR-DCGAN High-Resolution Deep Convolutional Generative Adversarial Networks https://arxiv.org/abs/1711.06491 -
2017 11 IFcVAEGAN Conditional Autoencoders with Adversarial Information Factorization https://arxiv.org/abs/1711.05175 -
2017 11 In2I In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks https://arxiv.org/abs/1711.09334 -
2017 11 Iterative-GAN Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs https://arxiv.org/abs/1711.06078 https://github.com/punkcure/Iterative-GAN 1 8 4
2017 11 IVE-GAN IVE-GAN: Invariant Encoding Generative Adversarial Networks https://arxiv.org/abs/1711.08646 -
2017 11 iVGAN Towards an Understanding of Our World by GANing Videos in the Wild https://arxiv.org/abs/1711.11453 https://github.com/bernhard2202/improved-video-gan 7 290 28
2017 11 KBGAN KBGAN: Adversarial Learning for Knowledge Graph Embeddings https://arxiv.org/abs/1711.04071 -
2017 11 KGAN KGAN: How to Break The Minimax Game in GAN https://arxiv.org/abs/1711.01744 -
2017 11 LGAN Global versus Localized Generative Adversarial Nets https://arxiv.org/abs/1711.06020 -
2017 11 MLGAN Metric Learning-based Generative Adversarial Network https://arxiv.org/abs/1711.02792 -
2017 11 ORGAN 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network https://arxiv.org/abs/1711.06363 -
2017 11 Pip-GAN Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes https://arxiv.org/abs/1711.10742 -
2017 11 pix2pixHD High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs https://arxiv.org/abs/1711.11585 https://github.com/NVIDIA/pix2pixHD 116 2426 424
2017 11 Sobolev GAN Sobolev GAN https://arxiv.org/abs/1711.04894 -
2017 11 StarGAN StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation https://arxiv.org/abs/1711.09020 https://github.com/yunjey/StarGAN 109 3047 491
2017 11 TGAN Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization https://arxiv.org/abs/1711.02666 -
2017 11 tripletGAN TripletGAN: Training Generative Model with Triplet Loss https://arxiv.org/abs/1711.05084 -
2017 11 VA-GAN Visual Feature Attribution using Wasserstein GANs https://arxiv.org/abs/1711.08998 -
2017 11 XGAN XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings https://arxiv.org/abs/1711.05139 -
2017 11 ZipNet-GAN ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network https://arxiv.org/abs/1711.02413 -
2017 12 ACGAN Coverless Information Hiding Based on Generative adversarial networks https://arxiv.org/abs/1712.06951 -
2017 12 CA-GAN Composition-aided Sketch-realistic Portrait Generation https://arxiv.org/abs/1712.00899 -
2017 12 ComboGAN ComboGAN: Unrestrained Scalability for Image Domain Translation https://arxiv.org/abs/1712.06909 https://github.com/AAnoosheh/ComboGAN 5 84 15
2017 12 DF-GAN Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions https://arxiv.org/abs/1712.04646 -
2017 12 Dynamics Transfer GAN Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image https://arxiv.org/abs/1712.03534 -
2017 12 EnergyWGAN Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation https://arxiv.org/abs/1712.01026 -
2017 12 ExGAN Eye In-Painting with Exemplar Generative Adversarial Networks https://arxiv.org/abs/1712.03999 -
2017 12 f-CLSWGAN Feature Generating Networks for Zero-Shot Learning https://arxiv.org/abs/1712.00981 -
2017 12 FusionGAN Learning to Fuse Music Genres with Generative Adversarial Dual Learning https://arxiv.org/abs/1712.01456 -
2017 12 G2-GAN Geometry Guided Adversarial Facial Expression Synthesis https://arxiv.org/abs/1712.03474 -
2017 12 GAGAN GAGAN: Geometry-Aware Generative Adverserial Networks https://arxiv.org/abs/1712.00684 -
2017 12 GAN-RS Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks https://arxiv.org/abs/1712.00736 -
2017 12 GANG GANGs: Generative Adversarial Network Games https://arxiv.org/abs/1712.00679 -
2017 12 GANosaic GANosaic: Mosaic Creation with Generative Texture Manifolds https://arxiv.org/abs/1712.00269 -
2017 12 IdCycleGAN Face Translation between Images and Videos using Identity-aware CycleGAN https://arxiv.org/abs/1712.00971 -
2017 12 manifold-WGAN Manifold-valued Image Generation with Wasserstein Adversarial Networks https://arxiv.org/abs/1712.01551 -
2017 12 MC-GAN Multi-Content GAN for Few-Shot Font Style Transfer https://arxiv.org/abs/1712.00516 https://github.com/azadis/MC-GAN 9 167 54
2017 12 MIL-GAN Multimodal Storytelling via Generative Adversarial Imitation Learning https://arxiv.org/abs/1712.01455 -
2017 12 MS-GAN Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks http://papers.nips.cc/paper/7014-temporal-coherency-based-criteria-for-predicting-video-frames-using-deep-multi-stage-generative-adversarial-networks -
2017 12 PacGAN PacGAN: The power of two samples in generative adversarial networks https://arxiv.org/abs/1712.04086 -
2017 12 PN-GAN Pose-Normalized Image Generation for Person Re-identification https://arxiv.org/abs/1712.02225 -
2017 12 PPAN Privacy-Preserving Adversarial Networks https://arxiv.org/abs/1712.07008 -
2017 12 RAN RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment https://arxiv.org/abs/1712.05444
2017 12 SGAN SGAN: An Alternative Training of Generative Adversarial Networks https://arxiv.org/abs/1712.02330 -
2017 12 SRPGAN SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution https://arxiv.org/abs/1712.05927 -
2017 12 ST-CGAN Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal https://arxiv.org/abs/1712.02478 -
2017 12 Super-FAN Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs https://arxiv.org/abs/1712.02765 -
2017 12 TV-GAN TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition https://arxiv.org/abs/1712.02514 -
2017 12 UGACH Unsupervised Generative Adversarial Cross-modal Hashing https://arxiv.org/abs/1712.00358 -
2017 12 UV-GAN UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition https://arxiv.org/abs/1712.04695 -
2017 12 VGAN Text Generation Based on Generative Adversarial Nets with Latent Variable https://arxiv.org/abs/1712.00170 -
2017 12 weGAN Generative Adversarial Nets for Multiple Text Corpora https://arxiv.org/abs/1712.09127 -
2018 1 AdvGAN Generating adversarial examples with adversarial networks https://arxiv.org/abs/1801.02610 -
2018 1 CFG-GAN Composite Functional Gradient Learning of Generative Adversarial Models https://arxiv.org/abs/1801.06309 -
2018 1 CipherGAN Unsupervised Cipher Cracking Using Discrete GANs https://arxiv.org/abs/1801.04883 -
2018 1 Cross-GAN Crossing Generative Adversarial Networks for Cross-View Person Re-identification https://arxiv.org/abs/1801.01760 -
2018 1 dp-GAN Differentially Private Releasing via Deep Generative Model https://arxiv.org/abs/1801.01594 -
2018 1 ecGAN eCommerceGAN : A Generative Adversarial Network for E-commerce https://arxiv.org/abs/1801.03244 -
2018 1 FusedGAN Semi-supervised FusedGAN for Conditional Image Generation https://arxiv.org/abs/1801.05551 -
2018 1 GeoGAN Generating Instance Segmentation Annotation by Geometry-guided GAN https://arxiv.org/abs/1801.08839 -
2018 1 GLCA-GAN Global and Local Consistent Age Generative Adversarial Networks https://arxiv.org/abs/1801.08390 -
2018 1 LAC-GAN Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification https://arxiv.org/abs/1801.05096 -
2018 1 MaskGAN MaskGAN: Better Text Generation via Filling in the ______ https://arxiv.org/abs/1801.07736 -
2018 1 SG-GAN Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption https://arxiv.org/abs/1801.01726 https://github.com/Peilun-Li/SG-GAN 5 36 8
2018 1 SketchyGAN SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis https://arxiv.org/abs/1801.02753 -
2018 1 tempoGAN "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow" https://arxiv.org/abs/1801.09710 -
2018 1 UGAN Enhancing Underwater Imagery using Generative Adversarial Networks https://arxiv.org/abs/1801.04011 -
2018 2 AmbientGAN AmbientGAN: Generative models from lossy measurements https://openreview.net/forum?id=Hy7fDog0b https://github.com/AshishBora/ambient-gan 2 57 17
2018 2 ATA-GAN Attention-Aware Generative Adversarial Networks (ATA-GANs) https://arxiv.org/abs/1802.09070 -
2018 2 C-GAN Face Aging with Contextual Generative Adversarial Nets https://arxiv.org/abs/1802.00237 -
2018 2 CapsuleGAN CapsuleGAN: Generative Adversarial Capsule Network http://arxiv.org/abs/1802.06167 -
2018 2 DA-GAN DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials) http://arxiv.org/abs/1802.06454 -
2018 2 DP-GAN DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text https://arxiv.org/abs/1802.01345 -
2018 2 DPGAN Differentially Private Generative Adversarial Network http://arxiv.org/abs/1802.06739 -
2018 2 First Order GAN First Order Generative Adversarial Networks https://arxiv.org/abs/1802.04591 https://github.com/zalandoresearch/first_order_gan 5 23 7
2018 2 GC-GAN Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis https://arxiv.org/abs/1802.01822 -
2018 2 LB-GAN Load Balanced GANs for Multi-view Face Image Synthesis http://arxiv.org/abs/1802.07447 -
2018 2 MAGAN MAGAN: Aligning Biological Manifolds https://arxiv.org/abs/1803.00385 -
2018 2 ND-GAN Novelty Detection with GAN https://arxiv.org/abs/1802.10560 -
2018 2 PGD-GAN Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees https://arxiv.org/abs/1802.08406 -
2018 2 RadialGAN RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks http://arxiv.org/abs/1802.06403 -
2018 2 SAR-GAN Generating High Quality Visible Images from SAR Images Using CNNs https://arxiv.org/abs/1802.10036 -
2018 2 SCH-GAN SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network https://arxiv.org/abs/1802.02488 -
2018 2 StainGAN StainGAN: Stain Style Transfer for Digital Histological Images https://arxiv.org/abs/1804.01601 -
2018 2 SWGAN Solving Approximate Wasserstein GANs to Stationarity https://arxiv.org/abs/1802.08249 -
2018 2 VoiceGAN Voice Impersonation using Generative Adversarial Networks http://arxiv.org/abs/1802.06840 -
2018 2 WaveGAN Synthesizing Audio with Generative Adversarial Networks https://arxiv.org/abs/1802.04208 -
2018 3 Attention-GAN Attention-GAN for Object Transfiguration in Wild Images https://arxiv.org/abs/1803.06798 -
2018 3 B-DCGAN B-DCGAN:Evaluation of Binarized DCGAN for FPGA https://arxiv.org/abs/1803.10930 -
2018 3 BAGAN BAGAN: Data Augmentation with Balancing GAN https://arxiv.org/abs/1803.09655 -
2018 3 BranchGAN Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning https://arxiv.org/abs/1803.08467 -
2018 3 D2IA-GAN Tagging like Humans: Diverse and Distinct Image Annotation https://arxiv.org/abs/1804.00113 -
2018 3 DBLRGAN Adversarial Spatio-Temporal Learning for Video Deblurring https://arxiv.org/abs/1804.00533 -
2018 3 E-GAN Evolutionary Generative Adversarial Networks https://arxiv.org/abs/1803.00657 -
2018 3 ELEGANT ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes https://arxiv.org/abs/1803.10562 -
2018 3 Fictitious GAN Fictitious GAN: Training GANs with Historical Models https://arxiv.org/abs/1803.08647 -
2018 3 GAAN Generative Adversarial Autoencoder Networks https://arxiv.org/abs/1803.08887 -
2018 3 GONet GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation https://arxiv.org/abs/1803.03254 -
2018 3 memoryGAN Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks https://arxiv.org/abs/1803.01500 -
2018 3 MTGAN MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks https://arxiv.org/abs/1803.09059 -
2018 3 NCE-GAN Dihedral angle prediction using generative adversarial networks https://arxiv.org/abs/1803.10996 -
2018 3 NetGAN NetGAN: Generating Graphs via Random Walks https://arxiv.org/abs/1803.00816 -
2018 3 OCAN One-Class Adversarial Nets for Fraud Detection https://arxiv.org/abs/1803.01798 -
2018 3 OT-GAN Improving GANs Using Optimal Transport https://arxiv.org/abs/1803.05573 -
2018 3 PGGAN Patch-Based Image Inpainting with Generative Adversarial Networks https://arxiv.org/abs/1803.07422 -
2018 3 Sdf-GAN Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks https://arxiv.org/abs/1803.06657 -
2018 3 Social GAN Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks https://arxiv.org/abs/1803.10892 -
2018 3 Spike-GAN Synthesizing realistic neural population activity patterns using Generative Adversarial Networks https://arxiv.org/abs/1803.00338 -
2018 3 ST-GAN ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing https://arxiv.org/abs/1803.01837 -
2018 3 Text2Shape Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings https://arxiv.org/abs/1803.08495 -
2018 3 tiny-GAN Analysis of Nonautonomous Adversarial Systems https://arxiv.org/abs/1803.05045 -
2018 3 VOS-GAN VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos https://arxiv.org/abs/1803.09092 -
2018 4 3D-PhysNet 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations https://arxiv.org/abs/1805.00328 -
2018 4 AF-DCGAN AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System https://arxiv.org/abs/1804.05347 -
2018 4 BEAM Boltzmann Encoded Adversarial Machines https://arxiv.org/abs/1804.08682 -
2018 4 CorrGAN Correlated discrete data generation using adversarial training https://arxiv.org/abs/1804.00925 -
2018 4 D-WCGAN I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification https://arxiv.org/abs/1804.00290 -
2018 4 Defo-Net Defo-Net: Learning Body Deformation using Generative Adversarial Networks https://arxiv.org/abs/1804.05928 -
2018 4 DSH-GAN Deep Semantic Hashing with Generative Adversarial Networks https://arxiv.org/abs/1804.08275 -
2018 4 DTR-GAN DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization https://arxiv.org/abs/1804.11228 -
2018 4 DVGAN Human Motion Modeling using DVGANs https://arxiv.org/abs/1804.10652 -
2018 4 EAR Generative Model for Heterogeneous Inference https://arxiv.org/abs/1804.09858 -
2018 4 FBGAN Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions https://arxiv.org/abs/1804.01694 -
2018 4 FusionGAN Generating a Fusion Image: One's Identity and Another's Shape https://arxiv.org/abs/1804.07455 -
2018 4 Graphical-GAN Graphical Generative Adversarial Networks https://arxiv.org/abs/1804.03429 -
2018 4 IterGAN IterGANs: Iterative GANs to Learn and Control 3D Object Transformation https://arxiv.org/abs/1804.05651 -
2018 4 M-AAE Mask-aware Photorealistic Face Attribute Manipulation https://arxiv.org/abs/1804.08882 -
2018 4 MelanoGAN MelanoGANs: High Resolution Skin Lesion Synthesis with GANs https://arxiv.org/abs/1804.04338 -
2018 4 MGGAN MGGAN: Solving Mode Collapse using Manifold Guided Training https://arxiv.org/abs/1804.04391 -
2018 4 ModularGAN Modular Generative Adversarial Networks https://arxiv.org/abs/1804.03343 -
2018 4 NAN Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing https://arxiv.org/abs/1804.03287 -
2018 4 PM-GAN PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities https://arxiv.org/abs/1804.06248 -
2018 4 ProGanSR A Fully Progressive Approach to Single-Image Super-Resolution https://arxiv.org/abs/1804.02900 -
2018 4 PS-GAN Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond https://arxiv.org/abs/1804.02047 -
2018 4 ReConNN Reconstruction of Simulation-Based Physical Field with Limited Samples by Reconstruction Neural Network https://arxiv.org/abs/1805.00528 -
2018 4 SAGA Generative Adversarial Learning for Spectrum Sensing https://arxiv.org/abs/1804.00709 -
2018 4 sGAN Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI https://arxiv.org/abs/1804.04366 -
2018 4 Sketcher-Refiner GAN Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training https://arxiv.org/abs/1804.08039 -
2018 4 SyncGAN SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks https://arxiv.org/abs/1804.00410 -
2018 4 TGANs-C To Create What You Tell: Generating Videos from Captions https://arxiv.org/abs/1804.08264 -
2018 4 UT-SCA-GAN Spatial Image Steganography Based on Generative Adversarial Network https://arxiv.org/abs/1804.07939 -
2018 5 AdvEntuRe AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples https://arxiv.org/abs/1805.04680 -
2018 5 AVID AVID: Adversarial Visual Irregularity Detection https://arxiv.org/abs/1805.09521 -
2018 5 BourGAN BourGAN: Generative Networks with Metric Embeddings https://arxiv.org/abs/1805.07674 -
2018 5 BRE Improving GAN Training via Binarized Representation Entropy (BRE) Regularization https://arxiv.org/abs/1805.03644 https://github.com/BorealisAI/bre-gan 3 7 2
2018 5 cd-GAN Conditional Image-to-Image Translation https://arxiv.org/abs/1805.00251 -
2018 5 cowboy Defending Against Adversarial Attacks by Leveraging an Entire GAN https://arxiv.org/abs/1805.10652 -
2018 5 CSG Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks https://arxiv.org/abs/1806.00154 -
2018 5 Defense-GAN Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models https://arxiv.org/abs/1805.06605 https://github.com/kabkabm/defensegan 2 35 8
2018 5 DialogWAE DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder https://arxiv.org/abs/1805.12352 -
2018 5 DTLC-GAN Generative Adversarial Image Synthesis with Decision Tree Latent Controller https://arxiv.org/abs/1805.10603 -
2018 5 FairGAN FairGAN: Fairness-aware Generative Adversarial Networks https://arxiv.org/abs/1805.11202 -
2018 5 Fairness GAN Fairness GAN https://arxiv.org/abs/1805.09910 -
2018 5 FakeGAN Detecting Deceptive Reviews using Generative Adversarial Networks https://arxiv.org/abs/1805.10364 -
2018 5 FBGAN Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference https://arxiv.org/abs/1805.07862 -
2018 5 FC-GAN Fast-converging Conditional Generative Adversarial Networks for Image Synthesis https://arxiv.org/abs/1805.01972 -
2018 5 GAF Generative Adversarial Forests for Better Conditioned Adversarial Learning https://arxiv.org/abs/1805.05185 -
2018 5 GAN Q-learning GAN Q-learning https://arxiv.org/abs/1805.04874 -
2018 5 GAN-SD Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning https://arxiv.org/abs/1805.10000 -
2018 5 GAN-Word2Vec Adversarial Training of Word2Vec for Basket Completion https://arxiv.org/abs/1805.08720 -
2018 5 GANAX GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks https://arxiv.org/abs/1806.01107 -
2018 5 GT-GAN Deep Graph Translation https://arxiv.org/abs/1805.09980 -
2018 5 HAN Bidirectional Learning for Robust Neural Networks https://arxiv.org/abs/1805.08006 -
2018 5 HiGAN Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks https://arxiv.org/abs/1805.04384 -
2018 5 hredGAN Multi-turn Dialogue Response Generation in an Adversarial Learning framework https://arxiv.org/abs/1805.11752 -
2018 5 MC-GAN MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis https://arxiv.org/abs/1805.01123 -
2018 5 MEGAN MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation https://arxiv.org/abs/1805.02481 -
2018 5 MolGAN MolGAN: An implicit generative model for small molecular graphs https://arxiv.org/abs/1805.11973 -
2018 5 N2RPP N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients https://arxiv.org/abs/1805.02825 -
2018 5 PD-WGAN Primal-Dual Wasserstein GAN https://arxiv.org/abs/1805.09575 -
2018 5 POGAN Perceptually Optimized Generative Adversarial Network for Single Image Dehazing https://arxiv.org/abs/1805.01084 -
2018 5 PSGAN PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening https://arxiv.org/abs/1805.03371 -
2018 5 ReGAN ReGAN: RE[LAX	BAR	INFORCE] based Sequence Generation using GANs https://arxiv.org/abs/1805.02788 https://github.com/TalkToTheGAN/REGAN 2 24 2
2018 5 RegCGAN Unpaired Multi-Domain Image Generation via Regularized Conditional GANs https://arxiv.org/abs/1805.02456 -
2018 5 RoCGAN Robust Conditional Generative Adversarial Networks https://arxiv.org/abs/1805.08657 -
2018 5 SAGAN Self-Attention Generative Adversarial Networks https://arxiv.org/abs/1805.08318 -
2018 5 SG-GAN Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation https://arxiv.org/abs/1805.07509 -
2018 5 speech-driven animation GAN End-to-End Speech-Driven Facial Animation with Temporal GANs https://arxiv.org/abs/1805.09313 -
2018 5 WGAN-CLS Text to Image Synthesis Using Generative Adversarial Networks https://arxiv.org/abs/1805.00676 -
2018 6 Adaptive GAN Customizing an Adversarial Example Generator with Class-Conditional GANs https://arxiv.org/abs/1806.10496 -
2018 6 APD Adversarial Distillation of Bayesian Neural Network Posteriors https://arxiv.org/abs/1806.10317 -
2018 6 BinGAN BinGAN: Learning Compact Binary Descriptors with a Regularized GAN https://arxiv.org/abs/1806.06778 -
2018 6 BWGAN Banach Wasserstein GAN https://arxiv.org/abs/1806.06621 -
2018 6 CapsGAN CapsGAN: Using Dynamic Routing for Generative Adversarial Networks https://arxiv.org/abs/1806.03968 -
2018 6 CR-GAN CR-GAN: Learning Complete Representations for Multi-view Generation https://arxiv.org/abs/1806.11191 -
2018 6 DMGAN Disconnected Manifold Learning for Generative Adversarial Networks https://arxiv.org/abs/1806.00880 -
2018 6 EL-GAN EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection https://arxiv.org/abs/1806.05525 -
2018 6 FrankenGAN rankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs https://arxiv.org/abs/1806.07179 -
2018 6 GAIN GAIN: Missing Data Imputation using Generative Adversarial Nets https://arxiv.org/abs/1806.02920 -
2018 6 GANG Beyond Local Nash Equilibria for Adversarial Networks https://arxiv.org/abs/1806.07268 -
2018 6 GATS Sample-Efficient Deep RL with Generative Adversarial Tree Search https://arxiv.org/abs/1806.05780 -
2018 6 IR2VI IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation https://arxiv.org/abs/1806.09565 -
2018 6 IRGAN Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances https://arxiv.org/abs/1806.03577 -
2018 6 JointGAN JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets https://arxiv.org/abs/1806.02978 -
2018 6 JR-GAN JR-GAN: Jacobian Regularization for Generative Adversarial Networks https://arxiv.org/abs/1806.09235 -
2018 6 LCC-GAN Adversarial Learning with Local Coordinate Coding https://arxiv.org/abs/1806.04895 -
2018 6 MedGAN MedGAN: Medical Image Translation using GANs https://arxiv.org/abs/1806.06397 -
2018 6 MMC-GAN A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions https://arxiv.org/abs/1806.03847 -
2018 6 Modified GAN-CLS Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm https://arxiv.org/abs/1806.11302 -
2018 6 PP-GAN Privacy-Protective-GAN for Face De-identification https://arxiv.org/abs/1806.08906 -
2018 6 SeUDA Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation https://arxiv.org/abs/1806.00600 -
2018 6 SN-DCGAN Generative Adversarial Networks for Unsupervised Object Co-localization https://arxiv.org/abs/1806.00236 -
2018 6 SN-PatchGAN Free-Form Image Inpainting with Gated Convolution https://arxiv.org/abs/1806.03589 -
2018 6 SoPhie SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints https://arxiv.org/abs/1806.01482 -
2018 6 SR-CNN-VAE-GAN Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation https://arxiv.org/abs/1806.00509 https://github.com/makbari7/SR-CNN-VAE-GAN 2 8 3
2018 6 StarGAN-VC StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks https://arxiv.org/abs/1806.02169 -
2018 6 table-GAN Data Synthesis based on Generative Adversarial Networks https://arxiv.org/abs/1806.03384 -
2018 6 tcGAN Cross-modal Hallucination for Few-shot Fine-grained Recognition https://arxiv.org/abs/1806.05147 -
2018 6 TD-GAN Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation https://arxiv.org/abs/1806.07201 -
2018 6 tempCycleGAN Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries https://arxiv.org/abs/1806.03627 -
2018 6 VAC+GAN "Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios" https://arxiv.org/abs/1806.07751 -
2018 7 acGAN On-line Adaptative Curriculum Learning for GANs https://arxiv.org/abs/1808.00020 -
2018 7 AlphaGAN AlphaGAN: Generative adversarial networks for natural image matting https://arxiv.org/abs/1807.10088 -
2018 7 AMC-GAN Video Prediction with Appearance and Motion Conditions https://arxiv.org/abs/1807.02635 -
2018 7 CE-GAN Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network https://arxiv.org/abs/1807.04585 -
2018 7 ciGAN Conditional Infilling GANs for Data Augmentation in Mammogram Classification https://arxiv.org/abs/1807.08093 -
2018 7 CT-GAN CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification https://arxiv.org/abs/1807.04812 -
2018 7 DE-GAN Generative Adversarial Networks with Decoder-Encoder Output Noise https://arxiv.org/abs/1807.03923 -
2018 7 Dropout-GAN Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators https://arxiv.org/abs/1807.11346 -
2018 7 Editable GAN Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously https://arxiv.org/abs/1807.07700 -
2018 7 FGGAN Adversarial Learning for Fine-grained Image Search https://arxiv.org/abs/1807.02247 -
2018 7 GAIA Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions https://arxiv.org/abs/1807.06650 -
2018 7 GAP Generative Adversarial Privacy https://arxiv.org/abs/1807.05306 -
2018 7 IntroVAE IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis https://arxiv.org/abs/1807.06358 -
2018 7 ISGAN Invisible Steganography via Generative Adversarial Network https://arxiv.org/abs/1807.08571 -
2018 7 LBT Learning Implicit Generative Models by Teaching Explicit Ones https://arxiv.org/abs/1807.03870 -
2018 7 Lipizzaner Towards Distributed Coevolutionary GANs https://arxiv.org/abs/1807.08194 -
2018 7 MIXGAN MIXGAN: Learning Concepts from Different Domains for Mixture Generation https://arxiv.org/abs/1807.01659 -
2018 7 PIONEER Pioneer Networks: Progressively Growing Generative Autoencoder https://arxiv.org/abs/1807.03026 -
2018 7 RaGAN The relativistic discriminator: a key element missing from standard GAN https://arxiv.org/abs/1807.00734 -
2018 7 Resembled GAN Resembled Generative Adversarial Networks: Two Domains with Similar Attributes https://arxiv.org/abs/1807.00947 -
2018 7 sAOG Deep Structured Generative Models https://arxiv.org/abs/1807.03877 -
2018 7 Sem-GAN Sem-GAN: Semantically-Consistent Image-to-Image Translation https://arxiv.org/abs/1807.04409 -
2018 7 SGAN CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement https://arxiv.org/abs/1807.07144 -
2018 7 SiGAN SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination https://arxiv.org/abs/1807.08370 -
2018 7 TequilaGAN TequilaGAN: How to easily identify GAN samples https://arxiv.org/abs/1807.04919 -
2018 7 WGAN-L1 Subsampled Turbulence Removal Network https://arxiv.org/abs/1807.04418 -
2018 8 BEGAN-CS Escaping from Collapsing Modes in a Constrained Space https://arxiv.org/abs/1808.07258 -
2018 8 Bellman GAN Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN https://arxiv.org/abs/1808.01960 -
2018 8 BridgeGAN Generative Adversarial Frontal View to Bird View Synthesis https://arxiv.org/abs/1808.00327 -
2018 8 DOPING DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN https://arxiv.org/abs/1808.07632 -
2018 8 GIN Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation https://arxiv.org/abs/1808.04495 -
2018 8 GM-GAN "Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images" https://arxiv.org/abs/1808.10356 -
2018 8 ISP-GPM Inner Space Preserving Generative Pose Machine https://arxiv.org/abs/1808.02104 -
2018 8 MinLGAN Anomaly Detection via Minimum Likelihood Generative Adversarial Networks https://arxiv.org/abs/1808.00200 -
2018 8 Recycle-GAN Recycle-GAN: Unsupervised Video Retargeting https://arxiv.org/abs/1808.05174 -
2018 8 ScarGAN ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans https://arxiv.org/abs/1808.04500 -
2018 8 Skip-Thought GAN Generating Text through Adversarial Training using Skip-Thought Vectors https://arxiv.org/abs/1808.08703 -
2018 8 StepGAN Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation https://arxiv.org/abs/1808.05599 -
2018 8 T2Net T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks https://arxiv.org/abs/1808.01454 -
2018 8 TreeGAN TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks https://arxiv.org/abs/1808.07582 -
2018 8 X-GANs X-GANs: Image Reconstruction Made Easy for Extreme Cases https://arxiv.org/abs/1808.04432 -
2018 9 AE-OT Latent Space Optimal Transport for Generative Models https://arxiv.org/abs/1809.05964 -
2018 9 AIM Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization https://arxiv.org/abs/1809.05972 -
2018 9 Bi-GAN Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm https://arxiv.org/abs/1809.10244 -
2018 9 BubGAN BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images https://arxiv.org/abs/1809.02266 -
2018 9 CinCGAN Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks https://arxiv.org/abs/1809.00437 -
2018 9 ClusterGAN ClusterGAN : Latent Space Clustering in Generative Adversarial Networks https://arxiv.org/abs/1809.03627 -
2018 9 DADA DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification https://arxiv.org/abs/1809.00981 -
2018 9 DeepFD Learning to Detect Fake Face Images in the Wild https://arxiv.org/abs/1809.08754 -
2018 9 ESRGAN ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks https://arxiv.org/abs/1809.00219 -
2018 9 GAN Lab GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation https://arxiv.org/abs/1809.01587 -
2018 9 GAN-AD Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series https://arxiv.org/abs/1809.04758 -
2018 9 GANVO GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks https://arxiv.org/abs/1809.05786 -
2018 9 GcGAN Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping https://arxiv.org/abs/1809.05852 -
2018 9 GraphSGAN Semi-supervised Learning on Graphs with Generative Adversarial Nets https://arxiv.org/abs/1809.00130 -
2018 9 IGMM-GAN Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data https://arxiv.org/abs/1809.02728 -
2018 9 MeRGAN Memory Replay GANs: learning to generate images from new categories without forgetting https://arxiv.org/abs/1809.02058 -
2018 9 SAM Sample-Efficient Imitation Learning via Generative Adversarial Nets https://arxiv.org/abs/1809.02064 -
2018 9 SiftingGAN SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro https://arxiv.org/abs/1809.04985 -
2018 9 SLSR Sparse Label Smoothing for Semi-supervised Person Re-Identification https://arxiv.org/abs/1809.04976 -
2018 9 Twin-GAN Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs https://arxiv.org/abs/1809.00946 -
2018 9 WaveletGLCA-GAN Global and Local Consistent Wavelet-domain Age Synthesis https://arxiv.org/abs/1809.07764 -

mlp singer

https://github.com/neosapience/mlp-singer.git

datasets

celeba

Implemented GANs

Name	Venue	Architecture	G_type*	D_type*	Loss	EMA**
DCGAN	arXiv' 15	CNN/ResNet***	N/A	N/A	Vanilla	False
LSGAN	ICCV' 17	CNN/ResNet***	N/A	N/A	Least Sqaure	False
GGAN	arXiv' 17	CNN/ResNet***	N/A	N/A	Hinge	False
WGAN-WC	ICLR' 17	ResNet	N/A	N/A	Wasserstein	False
WGAN-GP	NIPS' 17	ResNet	N/A	N/A	Wasserstein	False
WGAN-DRA	arXiv' 17	ResNet	N/A	N/A	Wasserstein	False
ACGAN	ICML' 17	ResNet	cBN	AC	Hinge	False
ProjGAN	ICLR' 18	ResNet	cBN	PD	Hinge	False
SNGAN	ICLR' 18	ResNet	cBN	PD	Hinge	False
SAGAN	ICML' 19	ResNet	cBN	PD	Hinge	False
BigGAN	ICLR' 18	Big ResNet	cBN	PD	Hinge	True
BigGAN-Deep	ICLR' 18	Big ResNet Deep	cBN	PD	Hinge	True
CRGAN	ICLR' 20	Big ResNet	cBN	PD/CL	Hinge	True
ICRGAN	arXiv' 20	Big ResNet	cBN	PD/CL	Hinge	True
LOGAN	arXiv' 19	Big ResNet	cBN	PD	Hinge	True
DiffAugGAN	arXiv' 20	Big ResNet	cBN	PD/CL	Hinge	True
ADAGAN	arXiv' 20	Big ResNet	cBN	PD/CL	Hinge	True
ContraGAN	arXiv' 20	Big ResNet	cBN	CL	Hinge	True
FreezeD	CVPRW' 20	-	-	-	-	-

https://github.com/ahmedfgad/GeneticAlgorithmPython

Facebook AI Introduces Multiscale Vision Transformers (MViT), A Transformer Architecture For Representation Learning From Visual Data

Quick Read: https://www.marktechpost.com/.../facebook-ai-introduces.../ Paper: https://arxiv.org/abs/2104.11227? Github: https://github.com/facebookresearch/SlowFast

Facebook And TU Graz Introduces An Ultra-Compact AI Generator, ‘DONeRF’, Which Is 48x Faster Than NeRF

Quick Read: https://www.marktechpost.com/.../facebook-and-tu-graz.../ Paper:https://arxiv.org/pdf/2103.03231.pdf Github: https://github.com/facebookresearch/DONERF

ACGAN

Title: Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training Paper: https://arxiv.org/abs/2111.01118 GitHub: https://github.com/POSTECH-CVLab/PyTorch-StudioGAN 해당 논문은 올해 Neurips 2021에 발표될 예정이며 내용을 정말 간단히 요약하자면 다음과 같습니다. 요약: 본 논문에서는 ACGAN 학습이 불안정한 원인으로 학습 초기에 뻗어나가는 특징맵과 분류자의 부정확한 예측을 주목했습니다. 이를 해결하기 위해 특징맵을 unit hypersphere에 사영하는 간단한 방법을 사용하였고, 이에 Contrastive learning 아이디어를 더해 D2D-CE로스를 제안하였습니다. Softmax 함수 대신 D2D-CE를 사용하는 ReACGAN은 CIFAR10, Tiny-ImageNet, CUB200, ImageNet, AFHQ에서 기존 모델대비 의미있는 성능향상을 보여주었고, 모델 아키텍처, Differentiable augmentations, 적대적 손실 함수, 하이퍼매개변수 변화에 강겅한 특징을 가지고 있습니다. 이를 StudioGAN 라이브러리를 통해 실험적으로 증명하였고, 특히 ACGAN 계열로는 처음으로 2048 배치 이미지넷 생성 실험에 성공했음을 리포트하였습니다.

Transform pic to anime: AnimeGANv2 Face Portrait v2

github: https://github.com/bryandlee/animegan2-pytorch huggingface gradio demo: https://huggingface.co/spaces/akhaliq/AnimeGANv2

HAN2HAN : Hangul Font Generation

한글 폰트 생성 프로젝트를 진행했습니다. 10글자 내외를 입력하면 해당 글씨체의 스타일대로 폰트를 생성합니다. 생성가능한 글자는 상용한글 + 영어알파벳으로 2,420글자입니다. https://github.com/MINED30/HAN2HAN 더 많은 예시와 모델 구조 설명이 있습니다.

Microsoft Researchers Unlock New Avenues In Image-Generation Research With Manifold Matching Via Metric Learning

Paper: https://arxiv.org/pdf/2106.10777.pdf Github:https://github.com/dzld00/pytorch-manifold-matching

AI Researchers Propose ‘GANgealing’: A GAN-Supervised Algorithm That Learns Transformations of Input Images to Bring Them into Better Joint Alignment

Paper: https://arxiv.org/pdf/2112.05143v1.pdf Github: https://github.com/wpeebles/gangealing

generative manifold learning!

https://yilundu.github.io/gem/

We show how to capture the manifold of any signal modality (including cross-modal ones), by representing each signal as a neural field. We can then traverse the latent space between signals and generate new samples!

Such an approach enables our latent manifold to capture the underlying structure in different signal modalities, enabling us to inpaint images as well as generate audio or image hallucinations.

Style-GAN paper out

Code and pre-trained models for StyleGAN - Official TensorFlow Implementation https://github.com/NVlabs/stylegan

code: Puzer/stylergan-encoder
code: StackGAN

License

MIT

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GAN.md

GAN.md

Delving deep into Generative Adversarial Networks (GANs)

Real2code: Reconstruct Articulated Objects via Code Generation

4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations

텍스트로 동영상을 만들어보세요.

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

MusicGen: Simple and Controllable Music Generation (Meta, 2023.6)

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

Background

InstructPix2Pix by University of California, Berkeley Learning to Follow Image Editing Instructions.

🔗 Contents

In The Latest AI Research, CMU And Adobe Researchers Propose An Elegant Emsembling Mechanism For GAN Training That Improves FID by 1.5x to 2x On The Given Dataset

📌 Opening Publication

Generative Adversarial Nets (GANs) (2014) [pdf] [presentation] [code] [video]

🔥 Latest paper from Ian Goodfellow

📋 Papers (Descending order based on Google Scholar Citations)

📔 Theory

🔩 Presentations

📚 Courses / Tutorials / Blogs (Webpages unless other is stated)

📦 Resources / Models (Descending order based on GitHub stars)

🔌 Frameworks & Libraries (Descending order based on GitHub stars)

mlp singer

datasets

Implemented GANs

Facebook AI Introduces Multiscale Vision Transformers (MViT), A Transformer Architecture For Representation Learning From Visual Data

Facebook And TU Graz Introduces An Ultra-Compact AI Generator, ‘DONeRF’, Which Is 48x Faster Than NeRF

ACGAN

Transform pic to anime: AnimeGANv2 Face Portrait v2

HAN2HAN : Hangul Font Generation

Microsoft Researchers Unlock New Avenues In Image-Generation Research With Manifold Matching Via Metric Learning

AI Researchers Propose ‘GANgealing’: A GAN-Supervised Algorithm That Learns Transformations of Input Images to Bring Them into Better Joint Alignment

generative manifold learning!

Style-GAN paper out

License

Files

GAN.md

Latest commit

History

GAN.md

File metadata and controls

Delving deep into Generative Adversarial Networks (GANs)

Real2code: Reconstruct Articulated Objects via Code Generation

4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations

텍스트로 동영상을 만들어보세요.

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

MusicGen: Simple and Controllable Music Generation (Meta, 2023.6)

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

Background

InstructPix2Pix by University of California, Berkeley Learning to Follow Image Editing Instructions.

🔗 Contents

In The Latest AI Research, CMU And Adobe Researchers Propose An Elegant Emsembling Mechanism For GAN Training That Improves FID by 1.5x to 2x On The Given Dataset

📌 Opening Publication

Generative Adversarial Nets (GANs) (2014) [pdf] [presentation] [code] [video]

🔥 Latest paper from Ian Goodfellow

📋 Papers (Descending order based on Google Scholar Citations)

📔 Theory

🔩 Presentations

📚 Courses / Tutorials / Blogs (Webpages unless other is stated)

📦 Resources / Models (Descending order based on GitHub stars)

🔌 Frameworks & Libraries (Descending order based on GitHub stars)

mlp singer

datasets

Implemented GANs

Facebook AI Introduces Multiscale Vision Transformers (MViT), A Transformer Architecture For Representation Learning From Visual Data

Facebook And TU Graz Introduces An Ultra-Compact AI Generator, ‘DONeRF’, Which Is 48x Faster Than NeRF

ACGAN

Transform pic to anime: AnimeGANv2 Face Portrait v2

HAN2HAN : Hangul Font Generation

Microsoft Researchers Unlock New Avenues In Image-Generation Research With Manifold Matching Via Metric Learning

AI Researchers Propose ‘GANgealing’: A GAN-Supervised Algorithm That Learns Transformations of Input Images to Bring Them into Better Joint Alignment

generative manifold learning!

Style-GAN paper out

License