FDIR: Harmonizing Fidelity and Human-Machine Preference in Lossy Compression Image Restoration
FDIR is proposed, a two-stage architecture that decouples the conflicting demands through complementary inductive biases: Quality-Guided One-Step Flow Matching (QO-Flow) recovers global semantic structure in latent space via a single forward pass, while Flow-Conditioned Detail Refinement (FCDR) deterministically restor...