💌
profile pic by Liya Weng @mochipanko
-
Zuse Institute Berlin / TU Berlin
- Berlin
Stars
GAN
Generative adversarial networks & friends
6 repositories
Spatial Generative Adversarial Networks
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
An experiments with Compositional Pattern Producing Networks and Generative Adversarial Networks.
PyTorch implementation of AnimeGANv2
Style Transfer by Relaxed Optimal Transport and Self-Similarity (CVPR 2019)
Image-to-Image Translation in PyTorch