https://scholars.lib.ntu.edu.tw/handle/123456789/632096
標題: | NTIRE 2021 depth guided image relighting challenge | 作者: | El Helou M Zhou R Susstrunk S Timofte R Suin M Rajagopalan A.N Wang Y Lu T Zhang Y Wu Y Yang H.-H Chen W.-T SY-YEN KUO Luo H.-L Zhang Z Luo Z He J Zhu Z.-L Li Z Qiu J.-X Kuang Z.-S Lu C.-Z Cheng M.-M Shao X.-L Li C DIng B Qian W Li F Li F Deng R Lin T Liu S Li X He D Yazdani A Guo T Monga V Nsampi N.E Hu Z Wang Q Nathan S Kansal P Zhao T Zhao S. |
公開日期: | 2021 | 起(迄)頁: | 566-577 | 來源出版物: | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops | 摘要: | Image relighting is attracting increasing interest due to its various applications. From a research perspective, im-age relighting can be exploited to conduct both image normalization for domain adaptation, and also for data augmentation. It also has multiple direct uses for photo montage and aesthetic enhancement. In this paper, we review the NTIRE 2021 depth guided image relighting challenge.We rely on the VIDIT dataset for each of our two challenge tracks, including depth information. The first track is on one-to-one relighting where the goal is to transform the illumination setup of an input image (color temperature and light source position) to the target illumination setup. In the second track, the any-to-any relighting challenge, the objective is to transform the illumination settings of the in-put image to match those of another guide image, similar to style transfer. In both tracks, participants were given depth information about the captured scenes. We had nearly 250 registered participants, leading to 18 confirmed team sub-missions in the final competition stage. The competitions, methods, and final results are presented in this paper. © 2021 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106121619&doi=10.1109%2fCVPRW53098.2021.00069&partnerID=40&md5=e7a081f92a755361832a833b98090157 https://scholars.lib.ntu.edu.tw/handle/123456789/632096 |
ISSN: | 21607508 | DOI: | 10.1109/CVPRW53098.2021.00069 | SDG/關鍵字: | Computer vision; Image enhancement; Aesthetic enhancements; Data augmentation; Depth information; Direct use; Domain adaptation; Guided images; Illumination set-up; Image normalization; Photo montages; Relighting; Light sources |
顯示於: | 電機工程學系 |
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