README.md

Resources We used for research

Research Papers and Blogs

1. Transfer clothes between photos using AI. From a single image!
2. Multi-Garment Net: Learning to Dress 3D People from Images
3. Morphing architectures for pose-based image generation
4. Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
5. SwapNet: Image Based Garment Transfer
6. Pose Guided Fashion Image Synthesis Using Deep Generative Model
7. Semi-supervised Learning explained
8. Weakly Supervised Learning: Introduction and Best Practices
9. Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation
10. Humans Image Segmentation with Unet using Tensorflow Keras
11. Image Segmentation using UNET Tensorflow
12. Understanding Semantic Segmentation with UNET
13. Image segmentation
14. ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations
15. Difference between AlexNet, VGGNet, ResNet, and Inception
16. Convolutions and Backpropagations
17. Image Segmentation Guide
18. Residual Block
19. Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras
20. RoI pooling in TensorFlow(Per-Trained library)
21. Implementing RoI Pooling in TensorFlow + Keras

Youtube videos

1. Transfer clothes between photos using AI. From a single image!
2. Image Based Virtual Try-On Network From Unpaired Data
3. Evolution of Object Detection Networks
4. U-net for image segmentation

Dataset References

1. Large-scale Fashion (DeepFashion) Database
2. Fashioninsta Unannotated Dataset
3. iMaterialist (Fashion) 2019 at FGVC6
4. Clothing Segmentation
5. Look Into Person Dataset
6. CP Viton Dataset

Courses

• Course 1 - Neural Networks and Deep learning
• Course 2 - Improving Deep Neural Networks
• Course 3 - Convolutional Neural Networks