There are 170 repositories under generative-adversarial-network topic.
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
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Curated list of awesome GAN applications and demo
Interactive Image Generation via Generative Adversarial Networks
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
[CVPR2020] Adversarial Latent Autoencoders
MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.
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
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
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
Text to image synthesis using thought vectors
Awesome GAN for Medical Imaging
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Compute FID scores with 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)
A sketch extractor for anime/illustration.
Toward Multimodal Image-to-Image Translation
C++ Implementation of PyTorch Tutorials for Everyone
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.