#degradation modeling

topicdegradation modeling

2 papers · 1 filter

cs.CV2026

What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration

Cencen Liu, Wen Yin, Dongyang Zhang +6

The paper introduces DAR-Net, a deep network that tackles the dual ambiguity problem in all‑in‑one image restoration by modeling degradation states with a simplex‑constrained arche…

cs.CV2026

ClusIR: Towards Cluster-Guided All-in-One Image Restoration

Shengkai Hu, Jiaqi Ma, Xu Zhang +3

ClusIR introduces a cluster-guided framework that learns degradation semantics via clustering and uses these cues to adaptively restore images across spatial and frequency domains.