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BridgeMatch: Conditional Transport Bridges in Matching Matrix Space for 3D Deformable Registration

arXiv · AI, language, vision and robotics · article · Sep 10, 2026 · UTC

Reliable non-rigid point cloud correspondences are important for deformable anatomical registration, embodied perception and manipulation, and dynamic 3D reconstruction. Coarse-to-fine methods reduce computational cost by selecting the top-\(K\) coarse regions. However, this pruning may remove weak but correct hypotheses and restrict fine matching to an incomplete search space. We present \paper, a two-stage generative solver that maintains the complete soft matching matrix at both coarse and high resolutions. Stage~I uses denoising diffusion to estimate a global matching matrix in the compact

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-10T12:39:58.000Z

First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.