AI RESEARCH
Divide and Restore: A Modular Task-Decoupled Framework for Universal Image Restoration
arXiv CS.CV
•
ArXi:2603.28658v1 Announce Type: new Restoring images affected by various types of degradation, such as noise, blur, or improper exposure, remains a significant challenge in computer vision. While recent trends favor complex monolithic all-in-one architectures, these models often suffer from negative task interference and require extensive joint