Convolutional autoencoder able to change image attributes
-
Updated
Nov 12, 2020 - Python
Convolutional autoencoder able to change image attributes
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.
Pytorch implementations of GANs
Pytorch implementation of progressive growing gan
Progressively growing of GANs Pytorch Implementation
A straightforward implementation for Progressive Growing of GANs
Implementation of NVIDIA's Progressive Growing of GANs
A collection of deep learning models (PyTorch implemtation)
Pure tensorflow implementation of progressive growing of GANs
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)
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
Add a description, image, and links to the pggan topic page so that developers can more easily learn about it.
To associate your repository with the pggan topic, visit your repo's landing page and select "manage topics."