FitGAN: Fit- and Shape-Realistic Generative Adversarial Networks for Fashion. (arXiv:2206.11768v1 [cs.CV])

Amidst the rapid growth of fashion e-commerce, remote fitting of fashion
articles remains a complex and challenging problem and a main driver of
customers' frustration. Despite the recent advances in 3D virtual try-on
solutions, such approaches still remain limited to a very narrow - if not only
a handful - selection of articles, and often for only one size of those fashion
items. Other state-of-the-art approaches that aim to support customers find
what fits them online mostly require a high …

arxiv cv fashion generative adversarial networks networks