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Yoo, Jaejun
Lab. of Advanced Imaging Technology
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NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Author(s)
Timofte, R.Agustsson, E.Gool, L.V.Yang, M.-H.Zhang, L.Lim, B.Son, S.Kim, H.Nah, S.Lee, K.M.Wang, X.Tian, Y.Yu, K.Zhang, Y.Wu, S.Dong, C.Lin, L.Qiao, Y.Loy, C.C.Bae, W.Yoo, JaejunHan, Y.Ye, J.C.Choi, J.-S.Kim, M.Fan, Y.Yu, J.Han, W.Liu, D.Yu, H.Wang, Z.Shi, H.Huang, T.S.Chen, Y.Zhang, K.Zuo, W.Tang, Z.Luo, L.Li, S.Fu, M.Cao, L.Heng, W.Bui, G.Le, T.Duan, Y.Tao, D.Wang, R.Lin, X.Pang, J.Xu, J.Zhao, Y.Xu, X.Pan, J.Sun, D.Song, X.Dai, Y.Qin, X.Huynh, X.-P.Guo, T.Mousavi, H.S.Vu, T.H.Monga, V.Cruz, C.Egiazarian, K.Katkovnik, V.Mehta, R.Jain, A.K.Agarwalla, A.Praveen, C.V.S.Zhou, R.Wen, H.Zhu, C.Xia, Z.Guo, Q.
Issued Date
2017-07
DOI
10.1109/CVPRW.2017.149
URI
https://scholarworks.unist.ac.kr/handle/201301/53622
Fulltext
https://ieeexplore.ieee.org/document/8014883
Citation
IEEE Conference on Computer Vision and Pattern Recognition, pp.1110 - 1121
Abstract
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 b∼100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.
Publisher
IEEE Computer Society
ISSN
2160-7508

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