2019
Max-Sliced Wasserstein Distance and Its Use for GANs
CVPR 2019oral
Generative adversarial nets (GANs) and variational auto-encoders have significantly improved our distribution modeling capabilities, showing promise for dataset augmentation, image-to-image translation and feature learning. However, to model high-dimensional distributions, sequential training and s…