FSM-Net: An Efficient Frequency-Spatial Network for Real-World Deblurring 事件

FSM-Net: An Efficient Frequency-Spatial Network for Real-World Deblurring arXiv:2605.31400v1 Announce Type: new Abstract: Real-world image deblurring demands both high-fidelity restoration and computational efficiency, a balance existing methods often struggle to achieve. In this paper, we propose FSM-Net (Frequency-Spatial Multi-branch Network), a highly efficient solution that secured 2nd place in the NTIRE 2026 Challenge on Efficient Real-World Deblurring. FSM-Net pioneers a dual-domain appr