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- Chun, Se Young
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NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results
- Author(s)
- Nah, Seungjun, Timofte, Radu, Gu, Shuhang, Baik, Sungyong, Hong, Seokil, Moon, Gyeongsik, Son, Sanghyun, Lee, Kyoung Mu, Wang, Xintao, Chan, Kelvin C.K., Yu, Ke, Dong, Chao, Loy, Chen Change, Fan, Yuchen, Yu, Jiahui, Liu, Ding, Huang, Thomas S., Liu, Xiao, Li, Chao, He, Dongliang, Ding, Y, Wen, Shilei, Porikli, Fatih, Kalarot, Ratheesh, Haris, Muhammad, Shakhnarovich, Greg, Ukita, Norimichi, Yi, Peng, Wang, Zhongyuan, Jiang, Kui, Jiang, Junjun, Ma, Jiayi, Dong, Hang, Zhang, Xinyi, Hu, Zhe, Kim, Kwanyoung, Kang, Dong Un, Chun, Se Young, Purohit, Kuldeep, Rajagopalan, AN, Tian, Yapeng, Zhang, Yulun, Fu, Yun, Xu, Chenliang, Tekalp, AM, Yilmaz, M. Akin, Korkmaz, Cansu, Sharma, Manoj, Makwana, Megh, Badhwar, Anuj, Singh, Ajay Pratap, Upadhyay, Avinash, Mukhopadhyay, Rudrabha, Shukla, Ankit, Khanna, Dheeraj, Mandal, A.S., Chaudhury, Santanu, Miao, Si, Zhu, Yongxin, Huo, Xiao
- Issued Date
- 2019-06-17
- Citation
- IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- 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.
- Publisher
- IEEE/CVF
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