M2IR: Proactive All-in-One Image Restoration via Mamba-style Modulation and Mixture-of-Experts

ArXi:2603.14816v1 Announce Type: new While Transformer-based architectures have dominated recent advances in all-in-one image restoration, they remain fundamentally reactive: propagating degradations rather than proactively suppressing them. In the absence of explicit suppression mechanisms, degraded signals interfere with feature learning, compelling the decoder to balance artifact removal and detail preservation, thereby increasing model complexity and limiting adaptability.