X-Restormer++ extends a dual-attention transformer with two-stage training on large and small datasets, a gradient-guided edge-aware loss, and weighted dual-model ensembling to achieve first place in an all-weather image restoration challenge.
Restormer- plus for real world image deraining: One state-of-the-art solu- tion to the gt-rain challenge (cvpr 2023 ug2+ track 3)
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X-Restormer++: 1st Place Solution for the UG2+ CVPR 2026 All-Weather Restoration Challenge
X-Restormer++ extends a dual-attention transformer with two-stage training on large and small datasets, a gradient-guided edge-aware loss, and weighted dual-model ensembling to achieve first place in an all-weather image restoration challenge.