AI RESEARCH
Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration
arXiv CS.CV
•
ArXi:2603.26385v1 Announce Type: new Image restoration aims to recover high quality images from inputs degraded by various factors, such as adverse weather, blur, or low light. While recent studies have shown remarkable progress across individual or unified restoration tasks, they still suffer from limited generalization and inefficiency when handling unknown or composite degradations.