2 citations · 4 across the 10 of their papers we have counts for
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cs.CV2024
NASM: Neural Anisotropic Surface Meshing
Hongbo Li, Haikuan Zhu, Sikai Zhong +7
This paper introduces a new learning-based method, NASM, for anisotropic surface meshing. Our key idea is to propose a graph neural network to embed an input mesh into a high-dimen…
cs.GR2024★ 1 cited
CWF: Consolidating Weak Features in High-quality Mesh Simplification
Rui Xu, Longdu Liu, Ningna Wang +7
In mesh simplification, common requirements like accuracy, triangle quality, and feature alignment are often considered as a trade-off. Existing algorithms concentrate on just one…
cs.GR2024
MATTopo: Topology-preserving Medial Axis Transform with Restricted Power Diagram
Ningna Wang, Hui Huang, Shibo Song +3
We present a novel topology-preserving 3D medial axis computation framework based on volumetric restricted power diagram (RPD), while preserving the medial features and geometric c…