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

• URL: http://arxiv.org/abs/2604.19445v1
• Date: Tue, 21 Apr 2026 13:26:09 GMT
• Title: LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results
• Abstract summary: The challenge aimed to advance research on real-world all-in-one image restoration under diverse real-world degradation conditions.<n>The competition attracted 124 registered participants and received 9 valid final submissions.
• Score: 100.64986371045718
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper presents a review for the LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aimed to advance research on real-world all-in-one image restoration under diverse real-world degradation conditions, including blur, low-light, haze, rain, and snow. It provided a unified benchmark to evaluate the robustness and generalization ability of restoration models across multiple degradation categories within a common framework. The competition attracted 124 registered participants and received 9 valid final submissions with corresponding fact sheets, significantly contributing to the progress of real-world all-in-one image restoration. This report provides a detailed analysis of the submitted methods and corresponding results, emphasizing recent progress in unified real-world image restoration. The analysis highlights effective approaches and establishes a benchmark for future research in real-world low-level vision.

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