Garment Recovery with Shape and Deformation Priors

• URL: http://arxiv.org/abs/2311.10356v2
• Date: Mon, 11 Mar 2024 19:27:35 GMT
• Title: Garment Recovery with Shape and Deformation Priors
• Authors: Ren Li, Corentin Dumery, Beno\^it Guillard, Pascal Fua
• Abstract summary: We propose a method that delivers realistic garment models from real-world images, regardless of garment shape or deformation. Not only does our approach recover the garment geometry accurately, it also yields models that can be directly used by downstream applications such as animation and simulation.
• Score: 51.41962835642731
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: While modeling people wearing tight-fitting clothing has made great strides in recent years, loose-fitting clothing remains a challenge. We propose a method that delivers realistic garment models from real-world images, regardless of garment shape or deformation. To this end, we introduce a fitting approach that utilizes shape and deformation priors learned from synthetic data to accurately capture garment shapes and deformations, including large ones. Not only does our approach recover the garment geometry accurately, it also yields models that can be directly used by downstream applications such as animation and simulation.

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