wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
MIT License
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
Collection of generative models in Pytorch version.
Source code for "Training Generative Adversarial Networks Via Turing Test".
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial...
A clean and readable Pytorch implementation of CycleGAN
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliar...
Discovering Interpretable GAN Controls [NeurIPS 2020]
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Image-to-Image Translation in PyTorch