the NTIRE 2026 Challenge on Efficient Real-World Deblurring
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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.