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ReBridge-Flow: Re-Coupling Posterior Bridges in Flow Matching for Image Restoration

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Flow Matching provides an efficient generative prior for image restoration by learning continuous transport between source and data distributions. However, existing methods typically incorporate measurement constraints through local corrections. Such corrections may disrupt the source-clean endpoint coupling implicitly encoded by the pretrained flow, making the corrected endpoint pair incompatible with the current state. To address this issue, we propose ReBridge-Flow, a posterior bridge re-coupling method. Specifically, given the current state, ReBridge-Flow first decodes the corresponding lo

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