#all‑in‑one restoration
topicall‑in‑one restoration
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
CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration
Zaiyan Zhang, Qiangqiang Yuan, Jie Li +5
The paper introduces CoRE-UIR, a prior‑guided framework that separates restoration into a common dense expert and low‑rank residual experts to efficiently handle multiple degradati…