awesome-GAN

A curated list of awesome Generative Adversarial Nets resources.

Contributing

Please feel free to send me pull request to add links.

Contents

• Tutorials
• Papers
• Codes

Tutorials

• NIPS 2016 Tutorial: Generative Adversarial Networks
• ganhacks - How to Train a GAN? Tips and tricks to make GANs work
• Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)
• GAN Zoo - A list of all named GANs!

Papers

• Generative Adversarial Networks - GAN
• Deep Generative Image Models using Lapalacian Pyramid of Adversarial Networks - LAPGAN
• Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks - DCGAN
• Generative Adversarial Text to Image Synthesis
• Generative Adversarial Imitation Learning
• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
• SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient - SeqGAN
• Connecting Generative Adversarial Networks and Actor-Critic Methods
• A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
• Wasserstein GAN - A new algorithm named WGAN, an alternative to traditional GAN training.
• Generative Adversarial Active Learning - GAAL
• Generalization and Equilibrium in Generative Adversarial Nets
• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
• BEGAN: Boundary Equilibrium Generative Adversarial Networks - BEGAN : State of the art generation of faces with Generative Adversarial Networks
• IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models - IRGAN : Best Paper in SIGIR
• Adversarially Regularized Autoencoders for Generating Discrete Structures - ARAE
• https://arxiv.org/abs/1706.07068 - CAN

Codes

• DCGAN - PyTorch - An implement of DCGAN by PyTorch.
• imitation - A implementation of the paper Generative Adversarial Imitation Learning
• Wasserstein GAN - Code accompanying the paper "Wasserstein GAN"
• CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more (from UC Berkeley)
• CycleGAN and pix2pix in PyTorch - This is ongoing PyTorch implementation for both unpaired and paired image-to-image translation.