NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Abstrak
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2 had unknown downscaling operators (blur kernel and decimation) but learnable through low and high res train images. Each competition had ∽100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.
Topik & Kata Kunci
Penulis (77)
R. Timofte
E. Agustsson
L. Gool
Ming-Hsuan Yang
Lei Zhang
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
Xintao Wang
Yapeng Tian
K. Yu
Yulun Zhang
Shixiang Wu
Chao Dong
Liang Lin
Y. Qiao
Chen Change Loy
Woong Bae
J. Yoo
Yoseob Han
J. C. Ye
Jae-Seok Choi
Munchurl Kim
Yuchen Fan
Jiahui Yu
Wei Han
Ding Liu
Haichao Yu
Zhangyang Wang
Humphrey Shi
Xinchao Wang
Thomas S. Huang
Yunjin Chen
K. Zhang
W. Zuo
Zhimin Tang
Linkai Luo
Shaohui Li
Min Fu
Lei Cao
Wen Heng
Giang Bui
Truc Le
Y. Duan
D. Tao
Ruxin Wang
Xu Lin
Jianxin Pang
Jinchang Xu
Yu Zhao
Xiangyu Xu
Jin-shan Pan
Deqing Sun
Yujin Zhang
Xibin Song
Yuchao Dai
Xueying Qin
X. Huynh
Tiantong Guo
Hojjat Seyed Mousavi
T. Vu
V. Monga
Cristóvão Cruz
K. Egiazarian
V. Katkovnik
Rakesh Mehta
A. Jain
Abhinav Agarwalla
C. Praveen
Ruofan Zhou
Hongdiao Wen
Chen Zhu
Zhiqiang Xia
Zhengtao Wang
Qi Guo
Akses Cepat
- Tahun Terbit
- 2017
- Bahasa
- en
- Total Sitasi
- 1847×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1109/CVPRW.2017.149
- Akses
- Open Access ✓