ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce

no code implementations • 15 Apr 2023 • Amrollah Seifoddini, Koen Vernooij, Timon Künzle, Alessandro Canopoli, Malte Alf, Anna Volokitin, Reza Shirvany

We obtain our final model, ALiSNet, with a size of 4MB and 97. 6$\pm$1. 0$\%$ mIoU, compared to Apple Person Segmentation, which has an accuracy of 94. 4$\pm$5. 7$\%$ mIoU on our dataset.

Segmentation Virtual Try-on

GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss

no code implementations • 20 Jul 2020 • Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua

We introduce a two-stream deep network model that produces a visually plausible draping of a template cloth on virtual 3D bodies by extracting features from both the body and garment shapes.

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

no code implementations • ICCV 2019 • Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua

We fuse these features with those extracted in parallel from the 3D body, so as to model the cloth-body interactions.

Virtual Try-on