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NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
Cited 16 time in
Web of Science
Cited 32 time in Scopus
- Authors
- Issue Date
- 2019-06
- Publisher
- IEEE
- Citation
- 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), pp.1985-1995
- 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.
- ISSN
- 2160-7508
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