LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds

Zihui Zhang; Weisheng Dai; Hongtao Wen; Bo Yang

doi:10.1109/cvpr52734.2025.00136

CVPR2025顶会

LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds

Zihui Zhang, Weisheng Dai, Hongtao Wen, Bo Yang

DOI 出版方

2025年份

6顶会引用

摘要

Input Point Cloud GrowSP PointDC PointDC-DINOv2 LogoSP (Ours) Ground Truth Figure 1. Given an input point cloud with complex structures from ScanNet dataset, our LogoSP automatically discovers accurate semantic classes such as sofa and table without needing human labels in training, clearly outperforming all existing baselines.