awesome-gan
This repo is a collection of AWESOME things about Generative Adversarial Networks,including papers,code etc.Feel free to star and fork.
Contents
- Papers
- Other Resources
- Selected
Papers
Overview
- How Generative Adversarial Networks and Their Variants Work: An Overview [arXiv 13 Nov 2018]
GAN Theory
Training GANs
- Improved Techniques for Training GANs [NIPS2016] [Pytorch]
GAN Architectures
- Domain Partitioning Network [arXiv]
- A Style-Based Generator Architecture for Generative Adversarial Networks [arXiv 12 Dec 2018]
- Self-Attention Generative Adversarial Networks [arXiv 21 May 2018]
Conditional GANs
- Diversity-Sensitive Conditional Generative Adversarial Networks [ICLR2019]
- Robust Conditional Generative Adversarial Networks [ICLR2019]
- Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation [ICLR2019]
- cGANs with Projection Discriminator [ICLR2018]
Latent Space
Evaluation
Others
- Self-Supervised Generative Adversarial Networks [CVPR2019]
- Label-Removed Generative Adversarial Networks Incorporating with K-Means [arXiv 19 Feb 2019]
Applications Using GANs
Image Synthesis
- Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis [CVPR2019]
Image translation
- CollaGAN : Collaborative GAN for Missing Image Data Imputation [CVPR2019]
Domain Adaptation
Super-resolution
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [CVPR2017] [Pytorch] [Pytorch]
- ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks [ECCV2018 workshop] [Pytorch]
Semi-supervised Learning
- Good Semi-supervised Learning That Requires a Bad GAN [NIPS2017]
- Triple Generative Adversarial Nets [NIPS2017]
- Improved Techniques for Training GANs [NIPS2016]
- Semi-Supervised Learning with Generative Adversarial Networks [arXiv 2016]
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks [arXiv 2015]
Low Level Image Process
Text to Image
- Generative Adversarial Text to Image Synthesis [ICML2016] [Pytorch]
Object Detection
Semantic Segmentation
Data Augmentation
- Learning to Compose Domain-Specific Transformations for Data Augmentation[NIPS2017]
- BAGAN: Data Augmentation with Balancing GAN [arXiv 5 Jun 2018]
Medical Images
Survey
- Generative Adversarial Network in Medical Imaging: A Review [arXiv 19 Sep 2018]
Image Classification
- GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification [arXiv 3 Mar 2018]
- Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification [ISBI 2018]
Others
- General-to-Detailed GAN for Infrequent Class Medical Images [arXiv 28 Nov 2018]
Other Applications
- MEAL: Multi-Model Ensemble via Adversarial Learning [AAAI2019] [Pytorch(official)]
Other Resources
Awesome GAN for Medical Imaging
Selected
- A Style-Based Generator Architecture for Generative Adversarial Networks [arXiv 12 Dec 2018]
- Supervised Generative Adversarial Networks [CVPR2019]
- Self-Attention Generative Adversarial Networks [arXiv 21 May 2018]