AI RESEARCH
DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization
arXiv CS.CV
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ArXi:2605.08627v1 Announce Type: new All-in-one image restoration aims to handle diverse degradations within a single model. However, existing methods often suffer from three key limitations: 1) per-input computational overhead from dynamic degradation estimation; 2) optimization challenges due to task heterogeneity; and 3) inefficient, frequency-agnostic encoder designs. To overcome these, we