AI RESEARCH
Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration
arXiv CS.CV
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ArXi:2603.16570v1 Announce Type: new Recent advances in image restoration have enabled high-fidelity recovery of faces from degraded inputs using reference-based face restoration models (Ref-FR). However, such methods focus solely on facial regions, neglecting degradation across the full scene, including body and background, which limits practical usability. Meanwhile, full-scene rers often ignore degradation cues entirely, leading to underdetermined predictions and visual artifacts.