[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
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Updated
Aug 7, 2022 - Python
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.
Simply implement the paper: cGANs with Projection Discriminator by TensorFlow
A implement of spectral normalization GAN for tensorflow version
Spectral Normalization and Projection Discriminator
Official PyTorch repository for Quaternion Generative Adversarial Networks.
This repository contains an implementation of a DCGAN and a SNGAN for image generation. More precisely, it is dedicated to artificial image synthesis in the context of medical imaging data.
A Pytorch implementation of "Spectral Normalization for Generative Adversarial Networks"
Face generation with DCGAN and SNGAN on CelebA dataset
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