Generative Adversarial Network

Image-to-Image Translation in PyTorch

A list of all named GANs!

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Bringing Old Photo Back to Life (CVPR 2020 oral)

Image-to-image translation with conditional adversarial nets

Build your neural network easy and fast, 莫烦Python中文教学

Synthesizing and manipulating 2048x1024 images with conditional GANs

Curated list of awesome GAN applications and demo

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Interactive Image Generation via Generative Adversarial Networks

MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.

[CVPR2020] Adversarial Latent Autoencoders

Create Anime Characters with MakeGirlsMoe

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

Collection of generative models in Pytorch version.

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Text to image synthesis using thought vectors

Awesome GAN for Medical Imaging

Compute FID scores with PyTorch.

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Discovering Interpretable GAN Controls [NeurIPS 2020]

A large-scale face dataset for face parsing, recognition, generation and editing.

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)