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cs.CV2023
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…
cs.CV2020
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss
Erhan Gundogdu, Victor Constantin, Shaifali Parashar +4
In this paper, we tackle the problem of static 3D cloth draping on virtual human bodies. We introduce a two-stream deep network model that produces a visually plausible draping of…
cs.CV2018
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini +3
While Physics-Based Simulation (PBS) can accurately drape a 3D garment on a 3D body, it remains too costly for real-time applications, such as virtual try-on. By contrast, inferenc…