awesome-gan
github.com/faldict/awesome-gan ↗A curated list of awesome Generative Adversarial Nets resources.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me papers resources from awesome-gan"
Installation instructions →What's inside
Papers
- A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
- Adversarially Regularized Autoencoders for Generating Discrete Structures
ARAE
- BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN : State of the art generation of faces with Generative Adversarial Networks
- CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
CAN
- CapsuleGAN: Generative Adversarial Capsule Network
CapsuleGAN
- ComboGAN: Unrestrained Scalability for Image Domain Translation
ComboGAN
Codes
- CapsuleGAN
My own implementation on CapsuleGAN.
- ComboGAN
ComboGAN
- 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.
- DCGAN - PyTorch
An implement of DCGAN by PyTorch.
- imitation
A implementation of the paper
Tutorials
- ganhacks
How to Train a GAN? Tips and tricks to make GANs work
- GANs in Action
- GAN Zoo
A list of all named GANs!
- Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch)
- NIPS 2016 Tutorial: Generative Adversarial Networks
Showing a sample of 32 resources. View the full list on GitHub →