English(EN) WaFIR: Wavelet-Fourier Mixture-of-Experts with Subband-Adaptive Routing for Blind All-in-One Image Restoration

WaFIR 引入子带自适应路由用于盲目图像复原

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-22 04:00

研究人员推出 WaFIR，一个用于盲目一体化图像复原的新型解码器模块。该系统将图像特征分解为子带，使用傅里叶描述符总结每个子带，并将它们路由到专门的专家进行处理。WaFIR 在去噪、去雨和去雾任务上展示了优于现有基线模型的性能，并对未见过的退化和复合效应表现出鲁棒性。 AI

影响引入了一种新颖的图像复原方法，有望在各种应用中提高性能和鲁棒性。

排序理由详细介绍图像复原新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
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arXiv cs.CV TIER_1 English(EN) · Trong Nhan Nguyen, Vu Hoang Minh Doan, Thanh Dat Le, Truong Tien Vo, Thi Thu Ha Vu, Tan Hung Vo, Jaeyeop Choi, Junghwan Oh, Truong-Son Hy · 2026-10-22 04:00

WaFIR：具有子带自适应路由的小波-傅里叶专家混合模型，用于盲全能图像恢复

arXiv:2610.29108v1 Announce Type: new Abstract: Blind all-in-one image restoration must adapt a shared model to heterogeneous and sometimes mixed degradations without a task label at test time. We introduce WaFIR, a decoder module that decomposes features into Haar subbands, summ…