Web: http://arxiv.org/abs/2201.10700

Jan. 27, 2022, 2:10 a.m. | Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Bjorn Stenger, Ming-Hsuan Yang, Hongdong Li

cs.CV updates on arXiv.org arxiv.org

Image deblurring is a classic problem in low-level computer vision, which
aims to recover a sharp image from a blurred input image. Recent advances in
deep learning have led to significant progress in solving this problem, and a
large number of deblurring networks have been proposed. This paper presents a
comprehensive and timely survey of recently published deep-learning based image
deblurring approaches, aiming to serve the community as a useful literature
review. We start by discussing common causes of image …

arxiv cv deep survey

More from arxiv.org / cs.CV updates on arXiv.org

Data Analytics and Technical support Lead

@ Coupa Software, Inc. | Bogota, Colombia

Data Science Manager

@ Vectra | San Jose, CA

Data Analyst Sr

@ Capco | Brazil - Sao Paulo

Data Scientist (NLP)

@ Builder.ai | London, England, United Kingdom - Remote

Senior Data Analyst

@ BuildZoom | Scottsdale, AZ/ San Francisco, CA/ Remote

Senior Research Scientist, Speech Recognition

@ SoundHound Inc. | Toronto, Canada