Spectral Normalization for Keras Dense and Convolution Layers

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

Generating super-resolution images using GANs

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

In this repository, we deal with the task of implementing Generative Adversarial Networks (GANs) using the CIFAR-10 dataset. Two popular GANs: DCGAN and SAGAN are implemented. The performance of the network is evaluated using the FID score.

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