pith:ZF52M5T2
X-Restormer++: 1st Place Solution for the UG2+ CVPR 2026 All-Weather Restoration Challenge
X-Restormer++ wins first place in all-weather image restoration by adding adaptive scaling, edge-aware loss, and extra training pairs
arxiv:2605.13258 v1 · 2026-05-13 · cs.CV · cs.AI
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Claims
With these strategies, our proposed method successfully ranks the 1st place in the challenge.
That the performance gain is primarily attributable to the three listed changes rather than differences in training schedule, optimizer settings, or undisclosed data filtering that were not ablated.
X-Restormer++ wins the UG2+ all-weather image restoration challenge by combining adaptive scaling, a gradient-guided edge-aware loss, and expanded training data on top of the X-Restormer baseline.
References
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| First computed | 2026-05-18T02:44:49.374009Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZF52M5T2DR4GGPVGZTR76X6L6M \
| jq -c '.canonical_record' \
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# expect: c97ba6767a1c78633ea6cce3ff5fcbf32967359e0dba80f42c5c287534c9157f
Canonical record JSON
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