Guaranteed Simply Connected Mesh Reconstruction from an Unorganized Point Cloud
Abstract
We introduce an approach that reconstructs a closed surface mesh from a noisy point cloud, where the topology of surface is guaranteed to be simply connected, i.e., homeomorphic to a topological 2-sphere. This task enjoys a wide range of applications, e.g., 3D organ and vessel reconstruction from CT scans. Central to our approach is a robust module that takes a collection of oriented triangles in a 3D triangulation as input and outputs a simply connected volumetric mesh whose boundary approximates the input triangles. Starting from a 3D Delaunay triangulation of the input point cloud and initial triangle orientations obtained through a spectral approach, our approach alternates between applying the module to obtain a reconstruction and using that reconstruction to reorient the input triangles. Experimental results on real and synthetic datasets demonstrate the effectiveness of our approach.
Cite
Text
Chen et al. "Guaranteed Simply Connected Mesh Reconstruction from an Unorganized Point Cloud." International Conference on Learning Representations, 2026.Markdown
[Chen et al. "Guaranteed Simply Connected Mesh Reconstruction from an Unorganized Point Cloud." International Conference on Learning Representations, 2026.](https://mlanthology.org/iclr/2026/chen2026iclr-guaranteed/)BibTeX
@inproceedings{chen2026iclr-guaranteed,
title = {{Guaranteed Simply Connected Mesh Reconstruction from an Unorganized Point Cloud}},
author = {Chen, Liyan and Li, Jingyi and Huang, Qixing},
booktitle = {International Conference on Learning Representations},
year = {2026},
url = {https://mlanthology.org/iclr/2026/chen2026iclr-guaranteed/}
}