pytorch-generative-model-collections

Collection of generative models in Pytorch version.

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

The author's officially unofficial PyTorch BigGAN implementation.

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

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Image-to-Image Translation in PyTorch

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

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

[CVPR2020] Adversarial Latent Autoencoders

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

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