PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Repository for implementation of generative models with Tensorflow 1.x

A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)

本科毕业设计：针对Deepfake假脸视频面部细节特征的提取算法

Pure tensorflow implementation of progressive growing of GANs

A collection of deep learning models (PyTorch implemtation)

Pytorch implementations of GANs

ClassicGAN: Generation of Classical Music with PGGAN

A TF 2.0 implementation of Progressive growing of GANs

Pytorch implementation of progressive growing gan

Progressively growing of GANs Pytorch Implementation

Tensorflow implemention of various GAN.

Implementation of NVIDIA's Progressive Growing of GANs

A straightforward implementation for Progressive Growing of GANs

This is repository teaching PyTorch1.0.

PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512

A python abstraction for Progressively Trained Generative Adversarial Network (PGGAN) training based on PyTorch.

Generating neuroimaging data for brain tumor detection using progressively growing GAN

Convolutional autoencoder able to change image attributes