Manifold k-NN generalizes DP-NNS to k-NN queries on manifold point clouds via a recursive successor-list property, delivering 1-10x speedups and full dynamic support.
arXiv preprint arXiv:2308.16139 (2023) 20
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A new MAT simplification algorithm uses explicit surface correspondence tracking and priority-controlled edge collapses to preserve structural features like fillet alignments on discrete meshes.
NFR combines neural features with dynamic consistency-filtered geometric registration to achieve robust non-rigid 3D shape matching without annotated correspondences.
citing papers explorer
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Manifold k-NN: Accelerated k-NN Queries for Manifold Point Clouds
Manifold k-NN generalizes DP-NNS to k-NN queries on manifold point clouds via a recursive successor-list property, delivering 1-10x speedups and full dynamic support.
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Structural MAT: Clean and Scalable Medial Axis Simplification via Explicit Surface Correspondence
A new MAT simplification algorithm uses explicit surface correspondence tracking and priority-controlled edge collapses to preserve structural features like fillet alignments on discrete meshes.
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NFR: Neural Feature-Guided Non-Rigid Shape Registration
NFR combines neural features with dynamic consistency-filtered geometric registration to achieve robust non-rigid 3D shape matching without annotated correspondences.