SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution 事件

SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution arXiv:2605.25892v1 Announce Type: new Abstract: State space models (SSMs) have emerged as a powerful paradigm for efficient single-image super-resolution (SR) due to their linear complexity and long-range modeling capabilities. However, existing Mamba-based methods typically rely on data-agnostic rigid scanning, which reshapes 2D images into 1D sequences over a fixed grid, inevitably disrupting spa