Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration

Understand

Efficiently identifying accurate correspondences between point clouds is crucial for both rigid and non-rigid point cloud registration.

• Existing methods usually rely on geometric or semantic feature embeddings to establish correspondences and then estimate transformations or flow fields.
• Recently, several state-of-the-art methods have adopted RAFT-like iterative updates to refine solutions.
• However, these methods still have two major limitations.