StarGAN - Official PyTorch Implementation (CVPR 2018)
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Updated
Jan 23, 2021 - Python
StarGAN - Official PyTorch Implementation (CVPR 2018)
This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .
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
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".
Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
[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.
A PyTorch implementation of StarGAN-VC2.
StarGAN with a triple consistency loss
Implementation of Emo-StarGAN
From scratch, simple and easy-to-understand Pytorch implementation of variants of generative adversarial network (GAN). Implemented variants: Conditional GAN (cGAN), DCGAN, LSGAN. Datasets used MNIST, SVHN, FashionMNIST, CIFAR10, CelebA, LSUN-Bedroom, LSUN-Church.
Implementation of StarGAN in Tensorflow
This repository contains a resnet-18 based face classifier. It can be used to train/test RAFD dataset.
Pytorch implementation of StarGAN
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