AI RESEARCH
X-Restormer++: 1st Place Solution for the UG2+ CVPR 2026 All-Weather Restoration Challenge
arXiv CS.AI
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ArXi:2605.13258v1 Announce Type: cross In this work, we present our winning solution for the 8th UG2+ Challenge (CVPR 2026) Track 1: Image Restoration under All-weather Conditions. Our method is built upon the strong baseline framework X-Restormer, which effectively captures both channel-wise global dependencies and spatially-local structural information through its dual-attention design (Multi-DCon Head Transposed Attention and Overlapping Cross-Attention). To further boost the restoration performance, we propose several key improvements.