MatRes jointly optimizes restoration and correspondence estimation at test time by enforcing conditional similarity on a single image pair and adapting lightweight modules without offline training.
A comprehensive review of deep learning-based real-world image restoration.IEEE Access, 11:21049–21067, 2023
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MatRes: Zero-Shot Test-Time Model Adaptation for Simultaneous Matching and Restoration
MatRes jointly optimizes restoration and correspondence estimation at test time by enforcing conditional similarity on a single image pair and adapting lightweight modules without offline training.