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

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Research Framework for easy and efficient training of GANs based on Pytorch

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

Inception Score for GANs in Pytorch

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.

PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot

Pytorch implementation of Wasserstein GANs with Gradient Penalty

GANs for time series generation in pytorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Various implementations of Generative adversarial networks using Pytorch

pytorch implementation of "Mask-Guided Portrait Editing with Conditional GANs"

A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.

implementation of several GANs with pytorch

Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

Implementation of Conditional Generative Adversarial Networks in PyTorch

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.