Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
UNLICENSE License
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Source code for "Training Generative Adversarial Networks Via Turing Test".
Discovering Interpretable GAN Controls [NeurIPS 2020]
Collection of generative models in Pytorch version.
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliar...
A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN...
Network-to-Network Translation with Conditional Invertible Neural Networks
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...