Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Using the famous cnn model in Pytorch, we run benchmarks on various gpu.
A PyTorch-based Speech Toolkit
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle