StarGAN - Official PyTorch Implementation (CVPR 2018)
#计算机科学#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 .
#计算机科学#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.
MM2018 "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Repository for implementation of generative models with Tensorflow 1.x
[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.
A PyTorch implementation of StarGAN-VC2.
Pytorch implementations of GANs
#计算机科学#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.
