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Video-Based Non-Uniform Object Motion Blur Estimation and Deblurring

Neurocomputing, 2012
Motion deblurring is a challenging problem in computer vision. Most previous blind deblurring approaches usually assume that the Point Spread Function (PSF) is spatially invariant.
Dacheng Tao, Jiajun Bu, Mingli Song
exaly   +2 more sources

Deep Learning in Motion Deblurring: Current Status, Benchmarks and Future Prospects

Visual Computer
Motion deblurring is one of the fundamental problems of computer vision and has received continuous attention. The variability in blur, both within and across images, imposes limitations on non-blind deblurring techniques that rely on estimating the blur
Chengyang Li, Heng Zhou
exaly   +2 more sources

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Recurrent Video Deblurring With Blur-Invariant Motion Estimation and Pixel Volumes

ACM Transactions on Graphics, 2021
Jonghyeop Lee, Junyong Lee, Sunghyun Cho
exaly  

Fast Motion Deblurring

ACM Transactions on Graphics, 2009
Sunghyun Cho, Seungyong Lee
exaly   +2 more sources

Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Dacheng Tao, Chaoyue Wang, Youjian Zhang
exaly  

LNNet: Lightweight Nested Network for Motion Deblurring

Journal of Systems Architecture, 2022
Hong-Ning Dai, Hao Wang, Ping Li
exaly  

A Motion Deblurring Disentangled Representation Network

Knowledge-Based Systems, 2022
Yaping Dai, Zhiyang Jia, Kaixin Zhao
exaly  

A Neural Approach to Blind Motion Deblurring

Lecture Notes in Computer Science, 2016
Ayan Chakrabarti
exaly  

High-Quality Motion Deblurring From a Single Image

ACM Transactions on Graphics, 2008
Jiaya Jia, Aseem Agarwala, Qi Shan
exaly  

Motion-Based Motion Deblurring

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
Moshe Ben-Ezra, S K Nayar
exaly