Abstract | ||
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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. |
Year | DOI | Venue |
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2020 | 10.1007/978-3-030-67070-2_30 | ECCV Workshops |
Keywords | DocType | Citations |
Image relighting,Illumination estimation,Style transfer | Conference | 1 |
PageRank | References | Authors |
0.35 | 23 | 37 |
Name | Order | Citations | PageRank |
---|---|---|---|
Majed El Helou | 1 | 7 | 1.42 |
Ruofan Zhou | 2 | 13 | 2.60 |
Sabine Süsstrunk | 3 | 4984 | 207.02 |
Radu Timofte | 4 | 1880 | 118.45 |
Mahmoud Afifi | 5 | 35 | 10.85 |
Michael S. Brown | 6 | 2122 | 129.13 |
Kele Xu | 7 | 46 | 21.80 |
Hengxing Cai | 8 | 9 | 2.21 |
Yuzhong Liu | 9 | 1 | 0.35 |
Li-wen Wang | 10 | 15 | 4.77 |
Zhi-Song Liu | 11 | 12 | 4.61 |
Chu-Tak Li | 12 | 3 | 3.42 |
Sourya Dipta Das | 13 | 7 | 4.47 |
Nisarg Shah | 14 | 5 | 3.46 |
Akashdeep Jassal | 15 | 1 | 0.35 |
Tongtong Zhao | 16 | 6 | 1.87 |
Shanshan Zhao | 17 | 1 | 1.02 |
Sabari Nathan | 18 | 2 | 3.46 |
M. P. Beham | 19 | 34 | 4.45 |
R. Suganya | 20 | 1 | 2.71 |
Qing Wang | 21 | 61 | 8.76 |
Zhongyun Hu | 22 | 1 | 0.35 |
Xin Huang | 23 | 1 | 0.68 |
Yaning Li | 24 | 1 | 0.68 |
Maitreya Suin | 25 | 5 | 2.48 |
Kuldeep Purohit | 26 | 13 | 7.65 |
A. N. Rajagopalan | 27 | 1106 | 92.02 |
Densen Puthussery | 28 | 5 | 1.81 |
Hrishikesh P S | 29 | 5 | 1.47 |
Melvin Kuriakose | 30 | 4 | 0.72 |
C. V. Jiji | 31 | 103 | 17.21 |
Yu Zhu | 32 | 65 | 12.88 |
Liping Dong | 33 | 1 | 0.35 |
Zhuolong Jiang | 34 | 1 | 0.35 |
Chenghua Li | 35 | 6 | 1.84 |
Cong Leng | 36 | 241 | 13.20 |
Jian Cheng | 37 | 1327 | 115.72 |