The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

• URL: http://arxiv.org/abs/2607.21118v1
• Date: Thu, 23 Jul 2026 09:54:25 GMT
• Title: The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results
• Abstract summary: The second LoViF Challenge on Real-World All-in-One Image Restoration aims to advance unified image restoration under diverse real-world degradation conditions.<n>The competition attracted 158 registered participants, and 20 teams were included in the final ranking after their submitted results were successfully reproduced and verified.<n>This report provides a comprehensive analysis of the submitted solutions and corresponding results, highlighting recent advances in real-world all-in-one image restoration.
• Score: 125.35175145091426
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-world degradation conditions, including blur, low-light, haze, rain, and snow. It provides a common benchmark for evaluating the restoration accuracy, robustness, and generalization capability of models across multiple degradation categories within a unified framework. The competition attracted 158 registered participants, and 20 teams were included in the final ranking after their submitted results were successfully reproduced and verified. This report provides a comprehensive analysis of the submitted solutions and corresponding results, highlighting recent advances in real-world all-in-one image restoration. The summarized methods and empirical findings reveal effective design strategies and establish an updated benchmark for future research in real-world low-level vision.

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