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