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Autor:
Shuhang Gu, Greg Shakhnarovich, Fatih Porikli, Kyoung Mu Lee, Zhongyuan Wang, Yulun Zhang, Seokil Hong, M. Akin Yilmaz, Kuldeep Purohit, Si Miao, A. S. Mandal, Yapeng Tian, A. Murat Tekalp, Norimichi Ukita, Sanghyun Son, Junjun Jiang, Yun Fu, A.N. Rajagopalan, Chenliang Xu, Gyeongsik Moon, Sungyong Baik, Ankit Shukla, Zhe Hu, Chen Change Loy, Manoj Sharma, Chao Li, Ding Yukang, Dong Un Kang, Yongxin Zhu, Santanu Chaudhury, Ratheesh Kalarot, Hang Dong, Avinash Upadhyay, Muhammad Haris, Ke Yu, Thomas S. Huang, Megh Makwana, Wang Xintao, Xinyi Zhang, Peng Yi, Jiahui Yu, Kwanyoung Kim, Kui Jiang, Chao Dong, Xiao Huo, Rudrabha Mukhopadhyay, Yuchen Fan, Dongliang He, Ding Liu, Se Young Chun, Shilei Wen, Ajay Pratap Singh, Xiao Liu, Kelvin C.K. Chan, Cansu Korkmaz, Jiayi Ma, Radu Timofte, Anuj Badhwar, Seungjun Nah, Dheeraj Khanna
Publikováno v:
CVPR Workshops
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
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 chal