turing-gan

Source code for "Training Generative Adversarial Networks Via Turing Test".

Stars

Ecosystems: PyTorch

Statistics for this project are still being loaded, please check back later.

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing an...

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliar...

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in...

The author's officially unofficial PyTorch BigGAN implementation.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Collection of generative models in Pytorch version.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial...

Discovering Interpretable GAN Controls [NeurIPS 2020]

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"