wgan-gp

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

MIT License

Stars

1.5K

Ecosystems: PyTorch

Total Pull Requests

Merged Pull Requests

Total Issues

Time to Close Issues

N/A

23 days

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

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

Collection of generative models in Pytorch version.

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

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

The author's officially unofficial PyTorch BigGAN implementation.

Synthesizing and manipulating 2048x1024 images with conditional GANs

Image-to-Image Translation in PyTorch