Title
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
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.
Year
DOI
Venue
2019
10.1109/CVPRW.2019.00250
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
DocType
ISSN
Citations 
Conference
2160-7508
1
PageRank 
References 
Authors
0.36
0
60
Name
Order
Citations
PageRank
Seungjun Nah140612.44
Radu Timofte21880118.45
Shuhang Gu370128.25
Sungyong Baik463.12
Seokil Hong592.16
Gyeongsik Moon6172.97
Sanghyun Son73409.45
Kyoung Mu Lee83228153.84
Xintao Wang91449.14
Kelvin C. K. Chan10322.74
Ke Yu11292.40
Chao Dong12206480.72
Chen Change Loy134484178.56
Yuchen Fan1433217.14
Jiahui Yu1526025.83
Ding Liu1661132.97
Thomas S. Huang17278152618.42
Xiao Liu1828441.90
Chao Li1931.74
He, D.203313.67
Yukang Ding21111.88
Shilei Wen227913.59
Fatih Porikli2310.36
Ratheesh Kalarot2410.36
Muhammad Haris25193.27
Shakhnarovich, Greg2617222.91
Norimichi Ukita2710.36
Peng Yi28223.01
Zhongyuan Wang2910.36
Kui Jiang309417.91
Junjun Jiang31113874.49
Jiayi Ma3210.36
Hang Dong334310.03
Xinyi Zhang34142.19
Zhe Hu3510.36
Kwan-Young Kim3611.03
Dong Un Kang3710.69
Se Young Chun387218.18
Kuldeep Purohit39137.65
A. N. Rajagopalan40110692.02
Tian Yapeng411479.54
Zhang Yulun4220622.15
Yun Fu434267208.09
Chenliang Xu4443428.73
A. Murat Tekalp4510.36
M. Akin Yilmaz4610.36
Cansu Korkmaz4710.36
Manoj Sharma4810.36
Megh Makwana4910.36
Anuj Badhwar5010.36
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