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dc.contributor.author
Nah, Seungjun
dc.contributor.author
Son, Sanghyun
dc.contributor.author
Timofte, Radu
dc.contributor.author
Lee, Kyoung Mu
dc.contributor.author
et al.
dc.date.accessioned
2020-09-14T09:07:32Z
dc.date.available
2020-09-10T05:45:08Z
dc.date.available
2020-09-14T08:54:22Z
dc.date.available
2020-09-14T09:07:32Z
dc.date.issued
2020
dc.identifier.isbn
978-1-7281-9360-1
en_US
dc.identifier.isbn
978-1-7281-9361-8
en_US
dc.identifier.other
10.1109/CVPRW50498.2020.00216
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/439479
dc.description.abstract
Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this challenge, we present the evaluation results from 3 competition tracks as well as the proposed solutions. Track 1 aims to develop single-image deblurring methods focusing on restoration quality. On Track 2, the image deblurring methods are executed on a mobile platform to find the balance of the running speed and the restoration accuracy. Track 3 targets developing video deblurring methods that exploit the temporal relation between input frames. In each competition, there were 163, 135, and 102 registered participants and in the final testing phase, 9, 4, and 7 teams competed. The winning methods demonstrate the state-of-the-art performance on image and video deblurring tasks. © 2020 IEEE.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
NTIRE 2020 Challenge on Image and Video Deblurring
en_US
dc.type
Conference Paper
dc.date.published
2020-07-28
ethz.book.title
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
en_US
ethz.pages.start
1662
en_US
ethz.pages.end
1675
en_US
ethz.event
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2020) (virtual)
en_US
ethz.event.location
Seattle, WA, USA
en_US
ethz.event.date
June 14-19, 2020
en_US
ethz.notes
Due to the Corona virus (COVID-19) the conference was conducted virtually.
en_US
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2020-09-10T05:45:35Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-09-14T08:54:34Z
ethz.rosetta.lastUpdated
2021-02-15T17:12:49Z
ethz.rosetta.versionExported
true
ethz.COinS
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