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a brief survey and implementations of generative adversarial nets(in progress)

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Reference Implementations

|| GAN-Timeline | Awesome-GANs | GANotebooks | ganhacks | bayesgan | WGAN-tensorflow | generative-adversarial-networks | Tensorflow-MultiGPU-VAE-GAN | gan-playground | GAN-Timeline | cvpr2017_gan_tutorial | advanced-tensorflow | goodfeli/adversarial ||

|| CycleGAN | pix2pix | DCGAN-tensorflow | pytorch-CycleGAN-and-pix2pix | iGAN | StarGAN | WassersteinGAN | pix2pixHD | improved-gan | StackGAN | SeqGAN | improved_wgan_training | HyperGAN | DeblurGAN | DiscoGAN-pytorch | keras-dcgan | BEGAN-tensorflow | InfoGAN | Delving-deep-into-GANs | DiscoGAN-official | WassersteinGAN.tensorflow | BicycleGAN | WGAN-tensorflow | animeGAN | improved-video-gan | SSGAN-Tensorflow | wgan-gp | prog_gans_pytorch_inference | unrolled_gan | SimGAN-Captcha | faceswap-GAN | mxnet-gan | faceswap-GAN ||

|| generative-models | AdversarialNetsPapers | tensorflow-generative-model-collections | progressive_growing_of_gans | the-gan-zoo | really-awesome-gan | pytorch-generative-model-collections | pytorch-generative-adversarial-networks | gans-awesome-applications | tf.gans-comparison | Keras-GAN ||

|| keras-adversarial | animeGAN | gans | Generative-Adversarial-Networks | keras-GAN | Generative-Adversarial-Network-Tutorial | keras-acgan | tf-SNDCGAN | GAN-MNIST | The-GAN-World | resnet-cppn-gan-tensorflow | AdversarialVariationalBayes | Generative_Adversarial_networks_LIVE | supervised_infogan | ORGAN | RGAN | ID-CGAN | jhayes14/GAN | junhocho/SRGAN | CoGAN-tensorflow | dcgan_tensorflow | TextGAN | Generative-Adversarial-Network-Demo | CaloGAN | alpha-GAN | spatial_gan | zalandoresearch/psgan | All-About-the-GAN | mp2893/medgan | pytorch-MNIST-CelebA-GAN-DCGAN | rajathkmp/DCGAN | CapsNet-GAN-Tensorflow | Triangle-GAN | pytorch-MNIST-CelebA-cGAN-cDCGAN | GalaxyGAN_python | LSGAN-TF | pytorch-generative-adversarial-networks | keras_BEGAN | SRGAN | DAGAN | tensorflow-MNIST-GAN-DCGAN | splitting_gan | dcgan-oreilly | TensorFlow-Autoencoders | kkihara/GAN | PorousMediaGan | TAC-GAN | SN-GAN | GANCS | 3d_gan_tensorflow | GAN-NMT | The-GAN-World | GAN-Papers | chainer-gan-lib ||

Reference papers

Overview

  • Generative Adversarial Networks: An Overview [arXiv]

Theory & Machine Learning

  • A Classification-Based Perspective on GAN Distributions [arXiv]
  • A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [arXiv]
  • A General Retraining Framework for Scalable Adversarial Classification [Paper]
  • Activation Maximization Generative Adversarial Nets [arXiv]
  • AdaGAN: Boosting Generative Models [arXiv]
  • Adversarial Autoencoders [arXiv]
  • Adversarial Discriminative Domain Adaptation [arXiv]
  • Adversarial Generator-Encoder Networks [arXiv]
  • Adversarial Feature Learning [arXiv] [Code]
  • Adversarially Learned Inference [arXiv] [Code]
  • AE-GAN: adversarial eliminating with GAN [arXiv]
  • An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [arXiv]
  • APE-GAN: Adversarial Perturbation Elimination with GAN [arXiv]
  • Associative Adversarial Networks [arXiv]
  • Autoencoding beyond pixels using a learned similarity metric [arXiv]
  • Bayesian Conditional Generative Adverserial Networks [arXiv]
  • Bayesian GAN [arXiv]
  • BEGAN: Boundary Equilibrium Generative Adversarial Networks [Paper] [arXiv] [Code]
  • Binary Generative Adversarial Networks for Image Retrieval [arXiv]
  • Boundary-Seeking Generative Adversarial Networks [arXiv] [Code]
  • CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training [arXiv]
  • Class-Splitting Generative Adversarial Networks [arXiv]
  • Comparison of Maximum Likelihood and GAN-based training of Real NVPs [arXiv]
  • Conditional CycleGAN for Attribute Guided Face Image Generation [arXiv]
  • Conditional Generative Adversarial Nets [arXiv] [Code]
  • Connecting Generative Adversarial Networks and Actor-Critic Methods [Paper]
  • Continual Learning in Generative Adversarial Nets [arXiv]
  • C-RNN-GAN: Continuous recurrent neural networks with adversarial training [arXiv]
  • CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning [arXiv]
  • Cooperative Training of Descriptor and Generator Networks [arXiv]
  • Coupled Generative Adversarial Networks [arXiv] [Code]
  • Dualing GANs [arXiv]
  • Deep and Hierarchical Implicit Models [arXiv]
  • Energy-based Generative Adversarial Network [arXiv] [Code]
  • Explaining and Harnessing Adversarial Examples [arXiv]
  • Flow-GAN: Bridging implicit and prescribed learning in generative models [arXiv]
  • f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [arXiv] [Code]
  • Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking [arXiv]
  • Generalization and Equilibrium in Generative Adversarial Nets (GANs) [arXiv]
  • Generating images with recurrent adversarial networks [arXiv]
  • Generative Adversarial Networks [arXiv] [Code] [Code]
  • Generative Adversarial Networks as Variational Training of Energy Based Models [arXiv]
  • Generative Adversarial Networks with Inverse Transformation Unit [arXiv]
  • Generative Adversarial Parallelization [arXiv] [Code]
  • Generative Adversarial Residual Pairwise Networks for One Shot Learning [arXiv]
  • Generative Adversarial Structured Networks [Paper]
  • Generative Cooperative Net for Image Generation and Data Augmentation [arXiv]
  • Generative Moment Matching Networks [arXiv] [Code]
  • Generative Semantic Manipulation with Contrasting GAN [arXiv]
  • Geometric GAN [arXiv]
  • Good Semi-supervised Learning that Requires a Bad GAN [arXiv]
  • Gradient descent GAN optimization is locally stable [arXiv]
  • How to Train Your DRAGAN [arXiv]
  • Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks [arXiv]
  • Improved Semi-supervised Learning with GANs using Manifold Invariances [arXiv]
  • Improved Techniques for Training GANs [arXiv] [Code]
  • Improved Training of Wasserstein GANs [arXiv] [Code]
  • InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [arXiv] [Code]
  • Inverting The Generator Of A Generative Adversarial Network [Paper]
  • It Takes (Only) Two: Adversarial Generator-Encoder Networks [arXiv]
  • KGAN: How to Break The Minimax Game in GAN [arXiv]
  • Learning in Implicit Generative Models [Paper]
  • Learning Loss for Knowledge Distillation with Conditional Adversarial Networks [arXiv]
  • Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv] [Code]
  • Learning Texture Manifolds with the Periodic Spatial GAN [arXiv]
  • Least Squares Generative Adversarial Networks [arXiv] [Code]
  • Linking Generative Adversarial Learning and Binary Classification [arXiv]
  • Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities [arXiv]
  • LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation [arXiv]
  • MAGAN: Margin Adaptation for Generative Adversarial Networks [arXiv] [Code]
  • Maximum-Likelihood Augmented Discrete Generative Adversarial Networks [arXiv]
  • McGan: Mean and Covariance Feature Matching GAN [arXiv]
  • Message Passing Multi-Agent GANs [arXiv]
  • MMD GAN: Towards Deeper Understanding of Moment Matching Network [arXiv]
  • Mode Regularized Generative Adversarial Networks [arXiv] [Code]
  • Multi-Agent Diverse Generative Adversarial Networks [arXiv]
  • Multi-Generator Gernerative Adversarial Nets [arXiv]
  • Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models [arXiv]
  • On Convergence and Stability of GANs [arXiv]
  • On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [arXiv]
  • On the Quantitative Analysis of Decoder-Based Generative Models [arXiv]
  • Optimizing the Latent Space of Generative Networks [arXiv]
  • Parametrizing filters of a CNN with a GAN [arXiv]
  • PixelGAN Autoencoders [arXiv]
  • SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [arXiv]
  • SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [arXiv]
  • Simple Black-Box Adversarial Perturbations for Deep Networks [Paper]
  • Softmax GAN [arXiv]
  • Stabilizing Training of Generative Adversarial Networks through Regularization [arXiv]
  • Stacked Generative Adversarial Networks [arXiv]
  • Statistics of Deep Generated Images [arXiv]
  • Structured Generative Adversarial Networks [arXiv]
  • Tensorizing Generative Adversarial Nets [arXiv]
  • The Cramer Distance as a Solution to Biased Wasserstein Gradients [arXiv]
  • Towards Understanding Adversarial Learning for Joint Distribution Matching [arXiv]
  • Training generative neural networks via Maximum Mean Discrepancy optimization [arXiv]
  • Triple Generative Adversarial Nets [arXiv]
  • Unrolled Generative Adversarial Networks [arXiv]
  • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [arXiv] [Code] [Code] [Code] [Code] [Code]
  • Wasserstein GAN [arXiv] [Code] [Code]

Applied Vision

  • 3D Object Reconstruction from a Single Depth View with Adversarial Learning [arXiv]
  • 3D Shape Induction from 2D Views of Multiple Objects [arXiv]
  • A step towards procedural terrain generation with GANs [arXiv] [Code]
  • Abnormal Event Detection in Videos using Generative Adversarial Nets [arXiv]
  • Adversarial Generation of Training Examples for Vehicle License Plate Recognition [arXiv]
  • Adversarial nets with perceptual losses for text-to-image synthesis [arXiv]
  • Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB [arXiv]
  • Adversarial Networks for the Detection of Aggressive Prostate Cancer [arXiv]
  • Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation [arXiv]
  • Adversarial Training For Sketch Retrieval [arXiv]
  • Aesthetic-Driven Image Enhancement by Adversarial Learning [arXiv]
  • Age Progression / Regression by Conditional Adversarial Autoencoder [arXiv]
  • AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks [arXiv]
  • Amortised MAP Inference for Image Super-resolution [arXiv]
  • A Novel Approach to Artistic Textual Visualization via GAN [arXiv]
  • Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification [arXiv]
  • ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [arXiv]
  • ArtGAN: Artwork Synthesis with Conditional Categorial GANs [arXiv]
  • Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data [arXiv]
  • Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis [arXiv]
  • Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks [arXiv]
  • Automatic Liver Segmentation Using an Adversarial Image-to-Image Network [arXiv]
  • Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [arXiv]
  • CAN: Creative Adversarial Networks Generating “Art” by Learning About Styles and Deviating from Style Norms [arXiv]
  • Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks [arXiv]
  • Conditional Adversarial Network for Semantic Segmentation of Brain Tumor [arXiv]
  • Conditional generative adversarial nets for convolutional face generation [Paper]
  • Conditional Image Synthesis with Auxiliary Classifier GANs [Paper] [arXiv] [Code]
  • Contextual RNN-GANs for Abstract Reasoning Diagram Generation [arXiv]
  • Controllable Generative Adversarial Network [arXiv]
  • Creatism: A deep-learning photographer capable of creating professional work [arXiv]
  • Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation [arXiv]
  • CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training [arXiv]
  • Data Augmentation in Classification using GAN [arXiv]
  • Deep Generative Adversarial Compression Artifact Removal [arXiv]
  • Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI [arXiv]
  • Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis [arXiv]
  • Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks [arXiv] [Code] [Blog]
  • Deep multi-scale video prediction beyond mean square error [arXiv] [Code]
  • Deep Unsupervised Representation Learning for Remote Sensing Images [arXiv]
  • DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data [arXiv]
  • Depth Structure Preserving Scene Image Generation [arXiv]
  • DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [arXiv] [Code]
  • Dual Motion GAN for Future-Flow Embedded Video Prediction [arXiv]
  • ExprGAN: Facial Expression Editing with Controllable Expression Intensity [arXiv]
  • Face Aging With Conditional Generative Adversarial Networks [arXiv]
  • Face Transfer with Generative Adversarial Network [arXiv]
  • Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets [arXiv]
  • Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks [arXiv]
  • From source to target and back: symmetric bi-directional adaptive GAN [arXiv]
  • Full Resolution Image Compression with Recurrent Neural Networks [arXiv]
  • GANs for Biological Image Synthesis [arXiv]
  • GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data [arXiv] [Code]
  • Generate Identity-Preserving Faces by Generative Adversarial Networks [arXiv]
  • Generate To Adapt: Aligning Domains using Generative Adversarial Networks [arXiv]
  • Generative Adversarial Models for People Attribute Recognition in Surveillance [arXiv]
  • Generative Adversarial Network based on Resnet for Conditional Image Restoration [arxiv]
  • Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces [arXiv]
  • Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking [arXiv]
  • Generative Adversarial Text to Image Synthesis [arXiv] [Code]
  • Generative Visual Manipulation on the Natural Image Manifold [Project] [Youtube] [Paper] [Code]
  • GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks [arXiv]
  • GP-GAN: Towards Realistic High-Resolution Image Blending [arXiv]
  • Guiding InfoGAN with Semi-Supervision [arXiv]
  • How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis [arXiv]
  • Hierarchical Detail Enhancing Mesh-Based Shape Generation with 3D Generative Adversarial Network [arXiv]
  • High-Quality Face Image SR Using Conditional Generative Adversarial Networks [arXiv]
  • High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks [arXiv]
  • Image De-raining Using a Conditional Generative Adversarial Network [arXiv]
  • Image Generation and Editing with Variational Info Generative Adversarial Networks [arXiv]
  • Image-to-Image Translation with Conditional Adversarial Networks [arXiv] [Code]
  • Improved Adversarial Systems for 3D Object Generation and Reconstruction [arXiv] [Code]
  • Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [arXiv]
  • Improving image generative models with human interactions [arXiv]
  • Imitating Driver Behavior with Generative Adversarial Networks [arXiv]
  • Interactive 3D Modeling with a Generative Adversarial Network [arXiv]
  • Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks [arXiv]
  • Invertible Conditional GANs for image editing [arXiv] [Paper]
  • Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images [arXiv]
  • Learning a Driving Simulator [arXiv]
  • Learning a Generative Adversarial Network for High Resolution Artwork Synthesis [arXiv]
  • Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling [arXiv]
  • Learning from Simulated and Unsupervised Images through Adversarial Training [arXiv]
  • Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv]
  • Learning to Generate Chairs with Generative Adversarial Nets [arXiv]
  • Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks [arXiv]
  • Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [arXiv]
  • MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification [arXiv]
  • Megapixel Size Image Creation using Generative Adversarial Networks [arXiv]
  • Microscopy Cell Segmentation via Adversarial Neural Networks [arXiv]
  • MoCoGAN: Decomposing Motion and Content for Video Generation [arXiv]
  • Multi-view Generative Adversarial Networks [Paper]
  • Neural Photo Editing with Introspective Adversarial Networks [Paper] [arXiv]
  • Neural Stain-Style Transfer Learning using GAN for Histopathological Images [arXiv]
  • Outline Colorization through Tandem Adversarial Networks [arXiv]
  • Perceptual Adversarial Networks for Image-to-Image Transformation [arXiv]
  • Perceptual Generative Adversarial Networks for Small Object Detection [arXiv]
  • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [arXiv]
  • Pose Guided Person Image Generation [arXiv]
  • Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks [arXiv]
  • Recurrent Topic-Transition GAN for Visual Paragraph Generation [arXiv]
  • RenderGAN: Generating Realistic Labeled Data [arXiv]
  • Representation Learning and Adversarial Generation of 3D Point Clouds [arXiv]
  • Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution [arXiv]
  • Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [arXiv]
  • SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks [arXiv]
  • SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [arXiv]
  • SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [arXiv]
  • SeGAN: Segmenting and Generating the Invisible [arXiv]
  • Semantic Image Inpainting with Deep Generative Models [arXiv]
  • Semantic Image Synthesis via Adversarial Learning [arXiv]
  • Semantic Segmentation using Adversarial Networks [arXiv]
  • Semantically Decomposing the Latent Spaces of Generative Adversarial Networks [arXiv]
  • Semi-Latent GAN: Learning to generate and modify facial images from attributes [arXiv]
  • Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks [arXiv]
  • Sharpness-aware Low dose CT denoising using conditional generative adversarial network [arXiv]
  • Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network [arXiv]
  • Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning [arXiv]
  • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [arXiv]
  • StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks [arXiv]
  • Style Transfer for Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN [arXiv]
  • Supervised Adversarial Networks for Image Saliency Detection [arXiv]
  • Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) [arXiv]
  • Synthesizing Filamentary Structured Images with GANs [arXiv]
  • Synthetic Iris Presentation Attack using iDCGAN [arXiv]
  • Synthetic Medical Images from Dual Generative Adversarial Networks [arXiv]
  • TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [arXiv]
  • Temporal Generative Adversarial Nets with Singular Value Clipping [arXiv]
  • TextureGAN: Controlling Deep Image Synthesis with Texture Patches [arXiv]
  • Texture Synthesis with Spatial Generative Adversarial Networks [arXiv] [Code]
  • The Conditional Analogy GAN: Swapping Fashion Articles on People Images [arXiv]
  • Towards Adversarial Retinal Image Synthesis [arXiv] [Code] [Demo]
  • Towards Diverse and Natural Image Descriptions via a Conditional GAN [arXiv]
  • Towards the Automatic Anime Characters Creation with Generative Adversarial Networks [arXiv]
  • Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [arXiv]
  • Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [arXiv]
  • Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks [arXiv]
  • Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery [arXiv]
  • Unsupervised Cross-Domain Image Generation [arXiv]
  • Unsupervised Diverse Colorization via Generative Adversarial Networks [arXiv]
  • Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks [arXiv]
  • Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks [arXiv]
  • VIGAN: Missing View Imputation with Generative Adversarial Networks [arXiv]
  • WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [arXiv]
  • Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [arXiv]

Applied Other

  • Adversarial Generation of Natural Language [arXiv]
  • Adversarial Ranking for Language Generation [arXiv]
  • Adversarial Training Methods for Semi-Supervised Text Classification [arXiv] [Paper]
  • A Generative Model for Volume Rendering [[arXiv]](A Generative Model for Volume Rendering)
  • ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? [arXiv]
  • Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN [arXiv]
  • Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks [arXiv]
  • Language Generation with Recurrent Generative Adversarial Networks without Pre-training [arXiv]
  • Learning to Protect Communications with Adversarial Neural Cryptography [arXiv] [Blog]
  • Long Text Generation via Adversarial Training with Leaked Information [arXiv]
  • MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [arXiv]
  • MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks [arXiv]
  • Reconstruction of three-dimensional porous media using generative adversarial neural networks [arXiv] [Code]
  • SEGAN: Speech Enhancement Generative Adversarial Network [arXiv]
  • Semi-supervised Learning of Compact Document Representations with Deep Networks [Paper]
  • SSGAN: Secure Steganography Based on Generative Adversarial Networks [arXiv]
  • Steganographic Generative Adversarial Networks [arXiv]
  • Towards Grounding Conceptual Spaces in Neural Representations [arXiv]

GAN Use Cases

Notable Papers on GANs

  • [Generative Adversarial Nets] [Paper] [Code](Ian Goodfellow’s breakthrough paper)

Unclassified Papers & Resources

Generating High-Quality Images

  • [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks] [Paper][Code](Gan with convolutional networks)(ICLR)

  • [Generative Adversarial Text to Image Synthesis] [Paper][Code][Code]

  • [Improved Techniques for Training GANs] [Paper][Code](Goodfellow’s paper)

  • [Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space] [Paper][Code]

  • [StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks] [Paper][Code]

  • [Improved Training of Wasserstein GANs] [Paper][Code]

  • [Boundary Equibilibrium Generative Adversarial Networks Implementation in Tensorflow] [Paper][Code]

  • [Progressive Growing of GANs for Improved Quality, Stability, and Variation ] [Paper][Code]

Semi-supervised learning

  • [Adversarial Training Methods for Semi-Supervised Text Classification] [Paper][Note]( Ian Goodfellow Paper)

  • [Improved Techniques for Training GANs] [Paper][Code](Goodfellow’s paper)

  • [Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks] [Paper](ICLR)

  • [Semi-Supervised QA with Generative Domain-Adaptive Nets] [Paper](ACL 2017)

Ensembles

  • [AdaGAN: Boosting Generative Models] [Paper][[Code]]（Google Brain）

Clustering

  • [Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks] [Paper](ICLR)

Image blending

  • [GP-GAN: Towards Realistic High-Resolution Image Blending] [Paper][Code]

Image Inpainting

  • [Semantic Image Inpainting with Perceptual and Contextual Losses] [Paper][Code](CVPR 2017)

  • [Context Encoders: Feature Learning by Inpainting] [Paper][Code]

  • [Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks] [Paper]

  • [Generative face completion] [Paper][Code](CVPR2017)

  • [Globally and Locally Consistent Image Completion] [MainPAGE](SIGGRAPH 2017)

Joint Probability

Super-Resolution

  • [Image super-resolution through deep learning ][Code](Just for face dataset)

  • [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network] [Paper][Code]（Using Deep residual network）

  • [EnhanceGAN] Docs[[Code]]

De-occlusion

  • [Robust LSTM-Autoencoders for Face De-Occlusion in the Wild] [Paper]

Semantic Segmentation

  • [Adversarial Deep Structural Networks for Mammographic Mass Segmentation] [Paper][Code]

  • [Semantic Segmentation using Adversarial Networks] [Paper]（Soumith’s paper）

Object Detection

  • [Perceptual generative adversarial networks for small object detection] [Paper](CVPR 2017)

  • [A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection] [Paper][Code](CVPR2017)

RNN-GANs

  • [C-RNN-GAN: Continuous recurrent neural networks with adversarial training] [Paper][Code]

Conditional Adversarial Nets

Video Prediction & Generation

  • [Deep multi-scale video prediction beyond mean square error] [Paper][Code](Yann LeCun’s paper)

  • [Generating Videos with Scene Dynamics] [Paper][Web][Code]

  • [MoCoGAN: Decomposing Motion and Content for Video Generation] [Paper]

Texture Synthesis & Style Transfer

  • [Precomputed real-time texture synthesis with markovian generative adversarial networks] [Paper][Code](ECCV 2016)

Image Translation

  • [Unsupervised cross-domain image generation] [Paper][Code]

  • [Image-to-image translation using conditional adversarial nets] [Paper][Code][Code]

  • [Learning to Discover Cross-Domain Relations with Generative Adversarial Networks] [Paper][Code]

  • [Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks] [Paper][Code]

  • [CoGAN: Coupled Generative Adversarial Networks] [Paper][Code](NIPS 2016)

  • [Unsupervised Image-to-Image Translation with Generative Adversarial Networks] [Paper]

  • [Unsupervised Image-to-Image Translation Networks] [Paper]

  • [Triangle Generative Adversarial Networks] [Paper]

GAN Theory

  • [Energy-based generative adversarial network] [Paper][Code](Lecun paper)

  • [Improved Techniques for Training GANs] [Paper][Code](Goodfellow’s paper)

  • [Mode Regularized Generative Adversarial Networks] [Paper](Yoshua Bengio , ICLR 2017)

  • [Improving Generative Adversarial Networks with Denoising Feature Matching] [Paper][Code](Yoshua Bengio , ICLR 2017)

  • [Sampling Generative Networks] [Paper][Code]

  • [How to train Gans] [Docu]

  • [Towards Principled Methods for Training Generative Adversarial Networks] [Paper](ICLR 2017)

  • [Unrolled Generative Adversarial Networks] [Paper][Code](ICLR 2017)

  • [Least Squares Generative Adversarial Networks] [Paper][Code](ICCV 2017)

  • [Wasserstein GAN] [Paper][Code]

  • [Improved Training of Wasserstein GANs] [Paper][Code](The improve of wgan)

  • [Towards Principled Methods for Training Generative Adversarial Networks] [Paper]

  • [Generalization and Equilibrium in Generative Adversarial Nets] [Paper]（ICML 2017）

3-Dimensional GANs

  • [Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling] [Paper][Web][Code](2016 NIPS)

  • [Transformation-Grounded Image Generation Network for Novel 3D View Synthesis] [Web](CVPR 2017)

Music

  • [MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions] [Paper][HOMEPAGE]

Face Generation & Editing

  • [Autoencoding beyond pixels using a learned similarity metric] [Paper][Code][Tensorflow code]

  • [Coupled Generative Adversarial Networks] [Paper][Caffe Code][Tensorflow Code]（NIPS）

  • [Invertible Conditional GANs for image editing] [Paper][Code]

  • [Learning Residual Images for Face Attribute Manipulation] [Paper][Code](CVPR 2017)

  • [Neural Photo Editing with Introspective Adversarial Networks] [Paper][Code](ICLR 2017)

  • [Neural Face Editing with Intrinsic Image Disentangling] [Paper](CVPR 2017)

  • [GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data ] [Paper](BMVC 2017)[Code]

  • [Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis] [Paper](ICCV 2017)

For Discrete Distributions

  • [Maximum-Likelihood Augmented Discrete Generative Adversarial Networks] [Paper]

  • [Boundary-Seeking Generative Adversarial Networks] [Paper]

  • [GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution] [Paper]

Improving Classification & Recognition

  • [Generative OpenMax for Multi-Class Open Set Classification] [Paper](BMVC 2017)

  • [Controllable Invariance through Adversarial Feature Learning] [Paper][Code](NIPS 2017)

  • [Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro] [Paper][Code] (ICCV2017)

  • [Learning from Simulated and Unsupervised Images through Adversarial Training] [Paper][Code]（Apple paper, CVPR 2017 Best Paper）

Projects

  • [cleverhans] [Code](A library for benchmarking vulnerability to adversarial examples)

  • [reset-cppn-gan-tensorflow] [Code](Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high-resolution images)

  • [HyperGAN] [Code](Open source GAN focused on scale and usability)

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a brief survey and implementations of generative adversarial nets(in progress)

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