3 papers
cs.GR2026
Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds
Hongbo Li, Haikuan Zhu, Xiaohu Guo +3
Dense 3D sensors in various real-world fields produce point clouds that are geometrically redundant for real-time processing. In this paper, we propose an efficient and scalable le…
cs.CG2025
Designing 3D Anisotropic Frame Fields with Odeco Tensors
Haikuan Zhu, Hongbo Li, Hsueh-Ti Derek Liu +3
This paper introduces a method to synthesize a 3D tensor field within a constrained geometric domain represented as a tetrahedral mesh. Whereas previous techniques optimize for iso…
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…