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Nasir Siddiqui

1 accepted papers

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…

Cited by 238PDFScholar