Publication: NTIRE 2019 challenge on video super-resolution: methods and results
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KU-Authors
KU Authors
Co-Authors
Nah, S.
Timofte, R.
Gu, S.
Baik, S.
Hong, S.
Moon, G.
Son, S.
Lee, K.M.
Wang, X.
Chan, K.C.K.
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NO
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Abstract
This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in low-resolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.
Source
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Optical resolving power, Image super
Citation
Has Part
Source
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
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Edition
DOI
10.1109/CVPRW.2019.00250