progressive-growing-of-gans.pytorch

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods

MIT License

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Ecosystems: PyTorch

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

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

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

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

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

The author's officially unofficial PyTorch BigGAN implementation.

Collection of generative models in Pytorch version.