Unsupervised Template-assisted Point Cloud Shape Correspondence Network

arXiv:2403.16412v1 Announce Type: new
Abstract: Unsupervised point cloud shape correspondence aims to establish point-wise correspondences between source and target point clouds. Existing methods obtain correspondences directly by computing point-wise feature similarity between point clouds. However, non-rigid objects possess strong deformability and unusual shapes, making it a longstanding challenge to directly establish correspondences between point clouds with unconventional shapes. To address this challenge, we propose an unsupervised Template-Assisted point cloud shape correspondence Network, termed TANet, including a template generation module and …

abstract arxiv challenge cloud computing cs.cv feature however making network objects template type unsupervised wise