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ParaPoint: Learning Global Free-Boundary Surface Parameterization of 3D Point Clouds
March 18, 2024, 4:45 a.m. | Qijian Zhang, Junhui Hou, Ying He
cs.CV updates on arXiv.org arxiv.org
Abstract: Surface parameterization is a fundamental geometry processing problem with rich downstream applications. Traditional approaches are designed to operate on well-behaved mesh models with high-quality triangulations that are laboriously produced by specialized 3D modelers, and thus unable to meet the processing demand for the current explosion of ordinary 3D data. In this paper, we seek to perform UV unwrapping on unstructured 3D point clouds. Technically, we propose ParaPoint, an unsupervised neural learning pipeline for achieving global …
abstract applications arxiv cs.cv current demand free geometry global mesh processing quality surface type
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