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This paper proposes blur-aware attention networks (BANet) that accomplish accurate and efficient deblurring via a single forward pass. ... Extensive experimental results on the GoPro and HIDE benchmarks demonstrate that the proposed BANet performs favorably against the state-of-the-art in blurred image restoration and can provide deblurred ... Conclusion In this paper, we propose a novel blur-aware attention network (BANet) for single image deblurring. ...arXiv:2101.07518v2 fatcat:kj4gtkl6nfekrawsfhrarpsyga
Image deblurring is an ill-posed problem with multiple plausible solutions for a given input image. ... We present an alternative framework for blind deblurring based on conditional diffusion models. ... Banet: Blur-aware attention networks for 2993–3000, 2017. 2 dynamic scene deblurring. arXiv preprint arXiv:2101.07518,  Wenqi Ren, Jiawei Zhang ...arXiv:2112.02475v2 fatcat:hi5fbbjuijhwnlq624bhrqfkiu
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training 3552 Yuan Yuan (School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL ... Informatics, Univ. of Zurich and Dept. of Neuroinformatics, Univ. of Zurich and ETH Zurich) Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring 3603 Maitreya Suin (Indian Institute ...doi:10.1109/cvpr42600.2020.00004 fatcat:c7els2kee5cq7lh6cemeqhdcoa