Linearized Coupling Flow with Shortcut Constraints for One-Step Face Restoration
Face restoration can be formulated as a continuous-time transformation between image distributions via Flow Matching (FM). However, standard FM typically employs independent coupling, ignoring the statistical correlation between low-quality (LQ) and high-quality (HQ) data. This leads to intersecting trajectories and high velocity-field curvature, requiring multi-step integration. We propose Shortcut-constrained Coupling Flow for Face Restoration (SCFlowFR) to address these challenges. By establishing a data-dependent coupling, we explicitly model the LQ-HQ dependency to minimize path crossovers and promote near-linear probability flow. Furthermore, we employ a conditional mean estimator t...
| Authors | Xiaohui Sun, Hanlin Wu |
|---|---|
| Primary category | cs.CV |
| Published | 4 March 2026 |
| Last updated at source | 8 April 2026 |
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