Diffusion Models for Iterative Stereo Matching: Bridging the Gap Between Discrete Optimization and Continuous Refinement

This work proposes a novel stereo matching training method that reformulates iterative optimization as an image-to-image translation diffusion model, providing a new direction for the application of diffusion models.