41 citations · 119 across the 6 of their papers we have counts for
3 papers · 1 filter
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce
Amrollah Seifoddini, Koen Vernooij, Timon Künzle +4
Accurately estimating human body shape from photos can enable innovative applications in fashion, from mass customization, to size and fit recommendations and virtual try-on. Body…
FitGAN: Fit- and Shape-Realistic Generative Adversarial Networks for Fashion
Sonia Pecenakova, Nour Karessli, Reza Shirvany
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…
SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images
Nour Karessli, Romain Guigourès, Reza Shirvany
Finding clothes that fit is a hot topic in the e-commerce fashion industry. Most approaches addressing this problem are based on statistical methods relying on historical data of a…