AI RESEARCH
Active Diffusion Matching: Score-based Iterative Alignment of Cross-Modal Retinal Images
arXiv CS.CV
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ArXi:2604.10084v1 Announce Type: new Objective: The study aims to address the challenge of aligning Standard Fundus Images (SFIs) and Ultra-Widefield Fundus Images (UWFIs), which is difficult due to their substantial differences in viewing range and the amorphous appearance of the retina. Currently, no specialized method exists for this task, and existing image alignment techniques lack accuracy. Methods: We propose Active Diffusion Matching (ADM), a novel cross-modal alignment method.