StarGAN - Official PyTorch Implementation (CVPR 2018)

Awesome Generative Adversarial Networks with tensorflow

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

full tensorflow implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks https://arxiv.org/abs/1806.02169

Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

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

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Repository for implementation of generative models with Tensorflow 1.x

Implementation of Emo-StarGAN

Tensorflow implementation of StarGAN

[CVPR 2021: Oral] In this work, we show that high frequency Fourier spectrum decay discrepancies are not inherent characteristics for existing CNN-based generative models.

From scratch, simple and easy-to-understand Pytorch implementation of various generative adversarial network (GAN): GAN, DCGAN, Conditional GAN (cGAN), WGAN, WGAN-GP, CycleGAN, LSGAN, and StarGAN.

Pytorch implementations of GANs

A PyTorch implementation of StarGAN-VC2.

Implementation of StarGAN in Tensorflow

StarGAN with a triple consistency loss

please smile

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Tensorflow implementation of StarGAN. Feature translation between images using Generative Adversarial Networks (GANs). It allows to modify a physical characteristic such as the hair color.