AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou; Ruofan Zhou; Sabine Süsstrunk; Radu Timofte; Mahmoud Afifi; Michael S. Brown; Kele Xu; Hengxing Cai; Yuzhong Liu; Li Wen Wang; Zhi Song Liu; Chu Tak Li; Sourya Dipta Das; Nisarg A. Shah; Akashdeep Jassal; Tongtong Zhao; Shanshan Zhao; Sabari Nathan; M. Parisa Beham; R. Suganya; Qing Wang; Zhongyun Hu; Xin Huang; Yaning Li; Maitreya Suin; Kuldeep Purohit; A. N. Rajagopalan; Densen Puthussery; P. S. Hrishikesh; Melvin Kuriakose; C. V. Jiji; Yu Zhu; Liping Dong; Zhuolong Jiang; Chenghua Li; Cong Leng; Jian Cheng

doi:10.1007/978-3-030-67070-2_30

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li Wen Wang, Zhi Song Liu, Chu Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. SuganyaQing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, P. S. Hrishikesh, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng

计算机学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

25 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Computer Vision – ECCV 2020 Workshops, Proceedings
编辑	Adrien Bartoli, Andrea Fusiello
出版商	Springer Science and Business Media Deutschland GmbH
页	499-518
页数	20
ISBN（印刷版）	9783030670696
DOI	https://doi.org/10.1007/978-3-030-67070-2_30
出版状态	已出版 - 2020
活动	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Glasgow, 英国期限: 23 8月 2020 → 28 8月 2020

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	12537 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
国家/地区	英国
市	Glasgow
时期	23/08/20 → 28/08/20

访问文件

10.1007/978-3-030-67070-2_30

其它文件与链接

链接到 Scopus 的出版物

引用此

El Helou, M., Zhou, R., Süsstrunk, S., Timofte, R., Afifi, M., Brown, M. S., Xu, K., Cai, H., Liu, Y., Wang, L. W., Liu, Z. S., Li, C. T., Dipta Das, S., Shah, N. A., Jassal, A., Zhao, T., Zhao, S., Nathan, S., Beham, M. P., ... Cheng, J. (2020). AIM 2020: Scene Relighting and Illumination Estimation Challenge. 在 A. Bartoli, & A. Fusiello (编辑), Computer Vision – ECCV 2020 Workshops, Proceedings (页码 499-518). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 12537 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-67070-2_30

El Helou, Majed ; Zhou, Ruofan ; Süsstrunk, Sabine 等. / AIM 2020 : Scene Relighting and Illumination Estimation Challenge. Computer Vision – ECCV 2020 Workshops, Proceedings. 编辑 / Adrien Bartoli ; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. 页码 499-518 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{ad1e44436a824588a74d491f4d9ee077,

title = "AIM 2020: Scene Relighting and Illumination Estimation Challenge",

abstract = "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.",

keywords = "Illumination estimation, Image relighting, Style transfer",

author = "{El Helou}, Majed and Ruofan Zhou and Sabine S{\"u}sstrunk and Radu Timofte and Mahmoud Afifi and Brown, {Michael S.} and Kele Xu and Hengxing Cai and Yuzhong Liu and Wang, {Li Wen} and Liu, {Zhi Song} and Li, {Chu Tak} and {Dipta Das}, Sourya and Shah, {Nisarg A.} and Akashdeep Jassal and Tongtong Zhao and Shanshan Zhao and Sabari Nathan and Beham, {M. Parisa} and R. Suganya and Qing Wang and Zhongyun Hu and Xin Huang and Yaning Li and Maitreya Suin and Kuldeep Purohit and Rajagopalan, {A. N.} and Densen Puthussery and Hrishikesh, {P. S.} and Melvin Kuriakose and Jiji, {C. V.} and Yu Zhu and Liping Dong and Zhuolong Jiang and Chenghua Li and Cong Leng and Jian Cheng",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 ; Conference date: 23-08-2020 Through 28-08-2020",

year = "2020",

doi = "10.1007/978-3-030-67070-2_30",

language = "英语",

isbn = "9783030670696",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "499--518",

editor = "Adrien Bartoli and Andrea Fusiello",

booktitle = "Computer Vision – ECCV 2020 Workshops, Proceedings",

}

El Helou, M, Zhou, R, Süsstrunk, S, Timofte, R, Afifi, M, Brown, MS, Xu, K, Cai, H, Liu, Y, Wang, LW, Liu, ZS, Li, CT, Dipta Das, S, Shah, NA, Jassal, A, Zhao, T, Zhao, S, Nathan, S, Beham, MP, Suganya, R, Wang, Q, Hu, Z, Huang, X, Li, Y, Suin, M, Purohit, K, Rajagopalan, AN, Puthussery, D, Hrishikesh, PS, Kuriakose, M, Jiji, CV, Zhu, Y, Dong, L, Jiang, Z, Li, C, Leng, C & Cheng, J 2020, AIM 2020: Scene Relighting and Illumination Estimation Challenge. 在 A Bartoli & A Fusiello (编辑), Computer Vision – ECCV 2020 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 12537 LNCS, Springer Science and Business Media Deutschland GmbH, 页码 499-518, Workshops held at the 16th European Conference on Computer Vision, ECCV 2020, Glasgow, 英国, 23/08/20. https://doi.org/10.1007/978-3-030-67070-2_30

AIM 2020: Scene Relighting and Illumination Estimation Challenge. / El Helou, Majed; Zhou, Ruofan; Süsstrunk, Sabine 等.
Computer Vision – ECCV 2020 Workshops, Proceedings. 编辑 / Adrien Bartoli; Andrea Fusiello. Springer Science and Business Media Deutschland GmbH, 2020. 页码 499-518 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 12537 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - AIM 2020

T2 - Workshops held at the 16th European Conference on Computer Vision, ECCV 2020

AU - El Helou, Majed

AU - Zhou, Ruofan

AU - Süsstrunk, Sabine

AU - Timofte, Radu

AU - Afifi, Mahmoud

AU - Brown, Michael S.

AU - Xu, Kele

AU - Cai, Hengxing

AU - Liu, Yuzhong

AU - Wang, Li Wen

AU - Liu, Zhi Song

AU - Li, Chu Tak

AU - Dipta Das, Sourya

AU - Shah, Nisarg A.

AU - Jassal, Akashdeep

AU - Zhao, Tongtong

AU - Zhao, Shanshan

AU - Nathan, Sabari

AU - Beham, M. Parisa

AU - Suganya, R.

AU - Wang, Qing

AU - Hu, Zhongyun

AU - Huang, Xin

AU - Li, Yaning

AU - Suin, Maitreya

AU - Purohit, Kuldeep

AU - Rajagopalan, A. N.

AU - Puthussery, Densen

AU - Hrishikesh, P. S.

AU - Kuriakose, Melvin

AU - Jiji, C. V.

AU - Zhu, Yu

AU - Dong, Liping

AU - Jiang, Zhuolong

AU - Li, Chenghua

AU - Leng, Cong

AU - Cheng, Jian

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Illumination estimation

KW - Image relighting

KW - Style transfer

UR - http://www.scopus.com/inward/record.url?scp=85101493640&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-67070-2_30

DO - 10.1007/978-3-030-67070-2_30

M3 - 会议稿件

AN - SCOPUS:85101493640

SN - 9783030670696

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 499

EP - 518

BT - Computer Vision – ECCV 2020 Workshops, Proceedings

A2 - Bartoli, Adrien

A2 - Fusiello, Andrea

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 23 August 2020 through 28 August 2020

ER -

El Helou M, Zhou R, Süsstrunk S, Timofte R, Afifi M, Brown MS 等. AIM 2020: Scene Relighting and Illumination Estimation Challenge. 在 Bartoli A, Fusiello A, 编辑, Computer Vision – ECCV 2020 Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. 页码 499-518. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-67070-2_30

AIM 2020: Scene Relighting and Illumination Estimation Challenge

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此