Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers

An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.

[NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements

🌈 Spectral Normalization implemented as Tensorflow 2

Reimplementation of the Paper: Large Scale GAN Training for High Fidelity Natural Image Synthesis

A implement of spectral normalization GAN for tensorflow version

Image colorization with generative adversarial networks on the CIFAR10 dataset.

Blind Deblurring using improvements on different GAN models

Code for the paper "Mean Spectral Normalization"

GANs: Losses, Regularizations and Normalizations

Spectral Normalization for Generative Adversarial Networks

Implementation of GAN papers on Keras and Tensorflow 2.0

Unofficial PyTorch Implementation of Spectral Normalization for Generative Adversarial Networks (SNGAN) with specialization in Anime faces generation

Implementation of InfoGAN using PyTorch lightning

A template repository for GANs

Implementations of GANs in PyTorch for Pokemon image generation

Running Monte Carlo - Markov Chain algorithm on synthesized spectral models made by CLOUDY to compare them with data from CECILIA survey

A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization

An unofficial implementation of sigma reparam [Zhai et al. 2023]