Diffusion Matching Model for Robust Correspondence Construction in 3D and 2D-3D Registration

The core message of this paper is to introduce a diffusion matching model that treats correspondence estimation as a denoising diffusion process within the doubly stochastic matrix space, which gradually refines a doubly stochastic matching matrix to the ground-truth one for high-quality correspondence estimation.