Feb. 14, 2024, 5:46 a.m. | Philipp Erler Paul Guerrero Stefan Ohrhallinger Michael Wimmer Niloy J. Mitra

cs.CV updates on arXiv.org arxiv.org

A key step in any scanning-based asset creation workflow is to convert unordered point clouds to a surface. Classical methods (e.g., Poisson reconstruction) start to degrade in the presence of noisy and partial scans. Hence, deep learning based methods have recently been proposed to produce complete surfaces, even from partial scans. However, such data-driven methods struggle to generalize to new shapes with large geometric and topological variations. We present Points2Surf, a novel patch-based learning framework that produces accurate surfaces directly …

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