works on
all-in-one restoration 1ambiguity rectification 1deep learning 1degradation modeling 1image restoration 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

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…