PhyDeformer: High-Quality Non-Rigid Garment Registration with Physics-Awareness

Fuente: arXiv
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Autores principales: Yu, Boyang, Cordier, Frederic, Seo, Hyewon
Formato: Preprint
Publicado: 2025
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author Yu, Boyang
Cordier, Frederic
Seo, Hyewon
author_facet Yu, Boyang
Cordier, Frederic
Seo, Hyewon
contents We present PhyDeformer, a new deformation method for high-quality garment mesh registration. It operates in two phases: In the first phase, a garment grading is performed to achieve a coarse 3D alignment between the mesh template and the target mesh, accounting for proportional scaling and fit (e.g. length, size). Then, the graded mesh is refined to align with the fine-grained details of the 3D target through an optimization coupled with the Jacobian-based deformation framework. Both quantitative and qualitative evaluations on synthetic and real garments highlight the effectiveness of our method.
format Preprint
id arxiv_https___arxiv_org_abs_2501_10455
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PhyDeformer: High-Quality Non-Rigid Garment Registration with Physics-Awareness
Yu, Boyang
Cordier, Frederic
Seo, Hyewon
Computer Vision and Pattern Recognition
Graphics
We present PhyDeformer, a new deformation method for high-quality garment mesh registration. It operates in two phases: In the first phase, a garment grading is performed to achieve a coarse 3D alignment between the mesh template and the target mesh, accounting for proportional scaling and fit (e.g. length, size). Then, the graded mesh is refined to align with the fine-grained details of the 3D target through an optimization coupled with the Jacobian-based deformation framework. Both quantitative and qualitative evaluations on synthetic and real garments highlight the effectiveness of our method.
title PhyDeformer: High-Quality Non-Rigid Garment Registration with Physics-Awareness
topic Computer Vision and Pattern Recognition
Graphics
url https://arxiv.org/abs/2501.10455