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While modeling people wearing tight-fitting clothing has made great stridesin recent years, loose-fitting clothing remains a challenge. We propose amethod that delivers realistic garment models from real-world images,regardless of garment shape or deformation. To this end, we introduce a fittingapproach that utilizes shape and deformation priors learned from synthetic datato accurately capture garment shapes and deformations, including large ones.Not only does our approach recover the garment geometry accurately, it alsoyields models that can be directly used by downstream applications such asanimation and simulation.

Garment Recovery with Shape and Deformation Priors