March 20, 2024, 4:46 a.m. | Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, Qixing Huang

cs.CV updates on arXiv.org arxiv.org

arXiv:2304.10523v2 Announce Type: replace
Abstract: This paper introduces GenCorres, a novel unsupervised joint shape matching (JSM) approach. Our key idea is to learn a mesh generator to fit an unorganized deformable shape collection while constraining deformations between adjacent synthetic shapes to preserve geometric structures such as local rigidity and local conformality. GenCorres presents three appealing advantages over existing JSM techniques. First, GenCorres performs JSM among a synthetic shape collection whose size is much bigger than the input shapes and fully …

abstract arxiv collection consistent cs.cv generative generative models generator key learn mesh novel paper synthetic type unsupervised via

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