HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration

Shaocheng Yan, Yiming Wang, Kaiyan Zhao, Pengcheng Shi, Zhenjun Zhao, Yongjun Zhang, Jiayuan Li

TL;DR: HeMoRa is an unsupervised framework that learns heuristic information for better correspondence subset sampling, enabling more efficient robust transformation estimation.

News

• 2025.02: 🎉 HeMoRa is accepted by CVPR 2025!