作者
Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee
发表日期
2019
来源
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
页码范围
0-0
简介
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 deblurring problem.
学术搜索中的文章
S Nah, R Timofte, S Baik, S Hong, G Moon, S Son… - Proceedings of the IEEE/CVF Conference on Computer …, 2019