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NTIRE 2019 Challenge on Video Deblurring: Methods and Results
Cited 35 time in
Web of Science
Cited 26 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.1974-1984
- Abstract
- This paper reviews the first NTIRE challenge on video deblurring (restoration of rich details and high frequency components from blurred video frames) with focus on the proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed dynamic motion blurs while Track 2 had additional MPEG video compression artifacts. Each competition had 109 and 93 registered participants. Total 13 teams competed in the final testing phase. They gauge the state-of-the-art in video de blurring problem.
- ISSN
- 2160-7508
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