Compositional-Degradation UAV Image Restoration: Conditional Decoupled MoE Network and A Benchmark

ArXi:2604.09313v1 Announce Type: cross UAV images are critical for applications such as large-area mapping, infrastructure inspection, and emergency response. However, in real-world flight environments, a single image is often affected by multiple degradation factors, including rain, haze, and noise, undermining downstream task performance. Current unified restoration approaches typically rely on implicit degradation representations that entangle multiple factors into a single condition, causing mutual interference among heterogeneous corrections.