Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching
FreeMatching is a framework that extends dense correspondence matching to Image-to-Image Generation (IEG) by combining generative and semantic foundation models with varied supervision. It uses teacher-guided refinement to improve local alignment without dense annotations, achieving state-of-the-art reconstruction scores on IEG tasks.