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NTIRE 2019 challenge on video super-resolution: Methods and results
S. Nah, R. Timofte, S. Gu, S. Baik, S. Hong, G. Moon, S. Son, K.M. Lee, X. Wang, K.C.K. ChanShow More
Published in IEEE Computer Society
Volume: 2019-June
Pages: 1985 - 1995
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. © 2019 IEEE.
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JournalData powered by TypesetIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
PublisherData powered by TypesetIEEE Computer Society