NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Pub Date : 2017-07-01 DOI:10.1109/CVPRW.2017.149

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

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引用次数: 1199

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 ∽100 registered participants and 20 teams competed in the final testing phase. They gauge the state-of-the-art in single image super-resolution.

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2017年全图像超分辨率挑战:方法和结果

本文综述了单幅图像超分辨率(在低分辨率图像中恢复丰富的细节)面临的第一个挑战，重点介绍了解决方案和结果。采用了一种新的多元2K分辨率图像数据集(DIV2K)。这项挑战有6个比赛，分为2个赛道，每个赛道有3个放大系数。轨道1采用标准的双三次降尺度设置，而轨道2有未知的降尺度操作符(模糊内核和抽取)，但可以通过低分辨率和高分辨率火车图像学习。∽每项比赛共有100名注册参与者和20支队伍参加最后的测试阶段。他们用最先进的单图像超分辨率来衡量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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