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DC Field | Value | Language |
---|---|---|
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Seattle, WA, USA | - |
dc.citation.endPage | 2076 | - |
dc.citation.startPage | 2058 | - |
dc.citation.title | IEEE Conference on Computer Vision and Pattern Recognition | - |
dc.contributor.author | Lugmayr, A. | - |
dc.contributor.author | Danelljan, M. | - |
dc.contributor.author | Timofte, R. | - |
dc.contributor.author | Ahn, N. | - |
dc.contributor.author | Bai, D. | - |
dc.contributor.author | Cai, J. | - |
dc.contributor.author | Cao, Y. | - |
dc.contributor.author | Chen, J. | - |
dc.contributor.author | Cheng, K. | - |
dc.contributor.author | Chun, Se Young | - |
dc.contributor.author | Deng, W. | - |
dc.contributor.author | El-Khamy, M. | - |
dc.contributor.author | Ho, C.M. | - |
dc.contributor.author | Ji, X. | - |
dc.contributor.author | Kheradmand, A. | - |
dc.contributor.author | Kim, G. | - |
dc.contributor.author | Ko, H. | - |
dc.contributor.author | Lee, K. | - |
dc.contributor.author | Lee, J. | - |
dc.contributor.author | Li, H. | - |
dc.contributor.author | Liu, Z. | - |
dc.contributor.author | Liu, Z.-S. | - |
dc.contributor.author | Liu, S. | - |
dc.contributor.author | Lu, Y. | - |
dc.contributor.author | Meng, Z. | - |
dc.contributor.author | Michelini, P.N. | - |
dc.contributor.author | Micheloni, C. | - |
dc.contributor.author | Prajapati, K. | - |
dc.contributor.author | Ren, H. | - |
dc.contributor.author | Seo, Y.H. | - |
dc.contributor.author | Siu, W.-C. | - |
dc.contributor.author | Sohn, K.-A. | - |
dc.contributor.author | Tai, Y. | - |
dc.contributor.author | Umer, R.M. | - |
dc.contributor.author | Wang, S. | - |
dc.contributor.author | Wang, H. | - |
dc.contributor.author | Wu, T.H. | - |
dc.contributor.author | Wu, H. | - |
dc.contributor.author | Yang, B. | - |
dc.contributor.author | Yang, F. | - |
dc.contributor.author | Yoo, Jaejun | - |
dc.contributor.author | Zhao, T. | - |
dc.contributor.author | Zhou, Y. | - |
dc.contributor.author | Zhuo, H. | - |
dc.contributor.author | Zong, Z. | - |
dc.contributor.author | Zou, X. | - |
dc.date.accessioned | 2024-01-31T23:06:53Z | - |
dc.date.available | 2024-01-31T23:06:53Z | - |
dc.date.created | 2021-08-19 | - |
dc.date.issued | 2020-06 | - |
dc.description.abstract | This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. For training, only one set of source input images is therefore provided along with a set of unpaired high-quality target images. In Track 1: Image Processing artifacts, the aim is to super-resolve images with synthetically generated image processing artifacts. This allows for quantitative benchmarking of the approaches w.r.t. a ground-truth image. In Track 2: Smartphone Images, real low-quality smart phone images have to be super-resolved. In both tracks, the ultimate goal is to achieve the best perceptual quality, evaluated using a human study. This is the second challenge on the subject, following AIM 2019, targeting to advance the state-of-the-art in super-resolution. To measure the performance we use the benchmark protocol from AIM 2019. In total 22 teams competed in the final testing phase, demonstrating new and innovative solutions to the problem. © 2020 IEEE. | - |
dc.identifier.bibliographicCitation | IEEE Conference on Computer Vision and Pattern Recognition, pp.2058 - 2076 | - |
dc.identifier.doi | 10.1109/CVPRW50498.2020.00255 | - |
dc.identifier.issn | 2160-7508 | - |
dc.identifier.scopusid | 2-s2.0-85090110747 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/78510 | - |
dc.language | 영어 | - |
dc.publisher | IEEE Computer Society | - |
dc.title | NTIRE 2020 challenge on real-world image super-resolution: Methods and results | - |
dc.type | Conference Paper | - |
dc.date.conferenceDate | 2020-06-14 | - |
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