AIM 2020: Scene Relighting and Illumination Estimation Challenge

Bibliographic Details
Title: AIM 2020: Scene Relighting and Illumination Estimation Challenge
Authors: Helou, Majed El, Zhou, Ruofan, Süsstrunk, Sabine, Timofte, Radu, Afifi, Mahmoud, Brown, Michael S., Xu, Kele, Cai, Hengxing, Liu, Yuzhong, Wang, Li-Wen, Liu, Zhi-Song, Li, Chu-Tak, Das, Sourya Dipta, Shah, Nisarg A., Jassal, Akashdeep, Zhao, Tongtong, Zhao, Shanshan, Nathan, Sabari, Beham, M. Parisa, Suganya, R., Wang, Qing, Hu, Zhongyun, Huang, Xin, Li, Yaning, Suin, Maitreya, Purohit, Kuldeep, Rajagopalan, A. N., Puthussery, Densen, S, Hrishikesh P, Kuriakose, Melvin, C V, Jiji, Zhu, Yu, Dong, Liping, Jiang, Zhuolong, Li, Chenghua, Leng, Cong, Cheng, Jian
Publication Year: 2020
Collection: Computer Science
Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
More Details: We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different proposed solutions and final evaluation results over the 3 challenge tracks. The first track considered one-to-one relighting; the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation (i.e., light source position). The goal of the second track was to estimate illumination settings, namely the color temperature and orientation, from a given image. Lastly, the third track dealt with any-to-any relighting, thus a generalization of the first track. The target color temperature and orientation, rather than being pre-determined, are instead given by a guide image. Participants were allowed to make use of their track 1 and 2 solutions for track 3. The tracks had 94, 52, and 56 registered participants, respectively, leading to 20 confirmed submissions in the final competition stage.
Comment: ECCVW 2020. Data and more information on https://github.com/majedelhelou/VIDIT
Document Type: Working Paper
Access URL: http://arxiv.org/abs/2009.12798
Accession Number: edsarx.2009.12798
Database: arXiv
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