1. NTIRE 2019 challenge on video super-resolution: methods and results
- Author
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Tekalp, Ahmet Murat (ORCID 0000-0003-1465-8121 & YÖK ID 26207), Nah, S.; Timofte, R.; Gu, S.; Baik, S.; Hong, S.; Moon, G.; Son, S.; Lee, K.M.; Wang, X.; Chan, K.C.K.; Yu, K.; Dong, C.; Loy, C.C.; Fan, Y.; Yu, J.; Liu, D.; Huang, T.S.; Liu, X.; Li, C.; He, D.; DIng, Y.; Wen, S.; Porikli, F.; Kalarot, R.; Haris, M.; Shakhnarovich, G.; Ukita, N.; Yi, P.; Wang, Z.; Jiang, K.; Jiang, J.; Ma, J.; Dong, H.; Zhang, X.; Hu, Z.; Kim, K.; Kang, D.U.; Chun, S.Y.; Purohit, K.; Rajagopalan, A.N.; Tian, Y.; Zhang, Y.; Fu, Y.; Xu, C.; Yılmaz, M.A.; Korkmaz, C.; Sharma, M.; Makwana, M.; Badhwar, A.; Singh, A.P.; Upadhyay, A.; Mukhopadhyay, R.; Shukla, A.; Khanna, D.; Mandal, A.S.; Chaudhury, S.; Miao, S.; Zhu, Y.; Huo, X., College of Engineering, Department of Electrical and Electronics Engineering, Tekalp, Ahmet Murat (ORCID 0000-0003-1465-8121 & YÖK ID 26207), Nah, S.; Timofte, R.; Gu, S.; Baik, S.; Hong, S.; Moon, G.; Son, S.; Lee, K.M.; Wang, X.; Chan, K.C.K.; Yu, K.; Dong, C.; Loy, C.C.; Fan, Y.; Yu, J.; Liu, D.; Huang, T.S.; Liu, X.; Li, C.; He, D.; DIng, Y.; Wen, S.; Porikli, F.; Kalarot, R.; Haris, M.; Shakhnarovich, G.; Ukita, N.; Yi, P.; Wang, Z.; Jiang, K.; Jiang, J.; Ma, J.; Dong, H.; Zhang, X.; Hu, Z.; Kim, K.; Kang, D.U.; Chun, S.Y.; Purohit, K.; Rajagopalan, A.N.; Tian, Y.; Zhang, Y.; Fu, Y.; Xu, C.; Yılmaz, M.A.; Korkmaz, C.; Sharma, M.; Makwana, M.; Badhwar, A.; Singh, A.P.; Upadhyay, A.; Mukhopadhyay, R.; Shukla, A.; Khanna, D.; Mandal, A.S.; Chaudhury, S.; Miao, S.; Zhu, Y.; Huo, X., College of Engineering, and Department of Electrical and Electronics Engineering
- 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., NA
- Published
- 2019