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

ArXi:2604.19445v1 Announce Type: new 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.