NTIRE 2023 Challenge on Night Photography Rendering

Alina Shutova; Egor Ershov; Georgy Perevozchikov; Ivan Ermakov; Nikola Banić; Radu Timofte; Richard Collins; Maria Efimova; Arseniy Terekhin; Simone Zini; Claudio Rota; Marco Buzzelli; Simone Bianco; Raimondo Schettini; Chunxia Lei; Tingniao Wang; Song Wang; Shuai Liu; Chaoyu Feng; Guangqi Shao; Hao Wang; Xiaotao Wang; Lei Lei; Lu Xu; Chao Zhang; Yasi Wang; Jin Guo; Yangfan Sun; Tianli Liu; Dejun Hao; Furkan Kinli; Bariş Özcan; Furkan Kiraç; Hyerin Chung; Nakyung Lee; Sung Keun Kwak; Marcos Conde; Omar Elezabi; Tim Seizinger; Florin Vasluianu; Chia Hsuan Hsieh; Wei Ting Chen; Hao Hsiang Yang; Zhi Kai Huang; Hua En Chang; I. Hsiang Chen; Yi Chung Chen; Yuan Chun Chiang; Sy Yen Kuo

doi:10.1109/CVPRW59228.2023.00192

NTIRE 2023 Challenge on Night Photography Rendering

Alina Shutova^*, Egor Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banić, Radu Timofte, Richard Collins, Maria Efimova, Arseniy Terekhin, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Chunxia Lei, Tingniao Wang, Song Wang, Shuai Liu, Chaoyu Feng, Guangqi ShaoHao Wang, Xiaotao Wang, Lei Lei, Lu Xu, Chao Zhang, Yasi Wang, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Furkan Kinli, Bariş Özcan, Furkan Kiraç, Hyerin Chung, Nakyung Lee, Sung Keun Kwak, Marcos Conde^*, Omar Elezabi, Tim Seizinger, Florin Vasluianu, Chia Hsuan Hsieh, Wei Ting Chen, Hao Hsiang Yang, Zhi Kai Huang, Hua En Chang, I. Hsiang Chen, Yi Chung Chen, Yuan Chun Chiang, Sy Yen Kuo

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. To evaluate the results, a sufficient number of viewers were asked to assess the visual quality of the proposed solutions, considering the subjective nature of the task. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering. More results can be found at https://nightimaging.org/

Original language	English
Title of host publication	Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
Publisher	IEEE Computer Society
Pages	1982-1993
Number of pages	12
ISBN (Electronic)	9798350302493
DOIs	https://doi.org/10.1109/CVPRW59228.2023.00192
State	Published - 2023
Externally published	Yes
Event	2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 - Vancouver, Canada Duration: 18 06 2023 → 22 06 2023

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2023-June
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
Country/Territory	Canada
City	Vancouver
Period	18/06/23 → 22/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Access to Document

10.1109/CVPRW59228.2023.00192

Cite this

Shutova, A., Ershov, E., Perevozchikov, G., Ermakov, I., Banić, N., Timofte, R., Collins, R., Efimova, M., Terekhin, A., Zini, S., Rota, C., Buzzelli, M., Bianco, S., Schettini, R., Lei, C., Wang, T., Wang, S., Liu, S., Feng, C., ... Kuo, S. Y. (2023). NTIRE 2023 Challenge on Night Photography Rendering. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 (pp. 1982-1993). (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2023-June). IEEE Computer Society. https://doi.org/10.1109/CVPRW59228.2023.00192

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title = "NTIRE 2023 Challenge on Night Photography Rendering",

abstract = "This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. To evaluate the results, a sufficient number of viewers were asked to assess the visual quality of the proposed solutions, considering the subjective nature of the task. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering. More results can be found at https://nightimaging.org/",

author = "Alina Shutova and Egor Ershov and Georgy Perevozchikov and Ivan Ermakov and Nikola Bani{\'c} and Radu Timofte and Richard Collins and Maria Efimova and Arseniy Terekhin and Simone Zini and Claudio Rota and Marco Buzzelli and Simone Bianco and Raimondo Schettini and Chunxia Lei and Tingniao Wang and Song Wang and Shuai Liu and Chaoyu Feng and Guangqi Shao and Hao Wang and Xiaotao Wang and Lei Lei and Lu Xu and Chao Zhang and Yasi Wang and Jin Guo and Yangfan Sun and Tianli Liu and Dejun Hao and Furkan Kinli and Bari{\c s} {\"O}zcan and Furkan Kira{\c c} and Hyerin Chung and Nakyung Lee and Kwak, {Sung Keun} and Marcos Conde and Omar Elezabi and Tim Seizinger and Florin Vasluianu and Hsieh, {Chia Hsuan} and Chen, {Wei Ting} and Yang, {Hao Hsiang} and Huang, {Zhi Kai} and Chang, {Hua En} and Chen, {I. Hsiang} and Chen, {Yi Chung} and Chiang, {Yuan Chun} and Kuo, {Sy Yen}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 ; Conference date: 18-06-2023 Through 22-06-2023",

year = "2023",

doi = "10.1109/CVPRW59228.2023.00192",

language = "英语",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE Computer Society",

pages = "1982--1993",

booktitle = "Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023",

address = "美国",

}

Shutova, A, Ershov, E, Perevozchikov, G, Ermakov, I, Banić, N, Timofte, R, Collins, R, Efimova, M, Terekhin, A, Zini, S, Rota, C, Buzzelli, M, Bianco, S, Schettini, R, Lei, C, Wang, T, Wang, S, Liu, S, Feng, C, Shao, G, Wang, H, Wang, X, Lei, L, Xu, L, Zhang, C, Wang, Y, Guo, J, Sun, Y, Liu, T, Hao, D, Kinli, F, Özcan, B, Kiraç, F, Chung, H, Lee, N, Kwak, SK, Conde, M, Elezabi, O, Seizinger, T, Vasluianu, F, Hsieh, CH, Chen, WT, Yang, HH, Huang, ZK, Chang, HE, Chen, IH, Chen, YC, Chiang, YC & Kuo, SY 2023, NTIRE 2023 Challenge on Night Photography Rendering. in Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2023-June, IEEE Computer Society, pp. 1982-1993, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023, Vancouver, Canada, 18/06/23. https://doi.org/10.1109/CVPRW59228.2023.00192

NTIRE 2023 Challenge on Night Photography Rendering. / Shutova, Alina; Ershov, Egor; Perevozchikov, Georgy et al.
Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, 2023. p. 1982-1993 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - NTIRE 2023 Challenge on Night Photography Rendering

AU - Shutova, Alina

AU - Ershov, Egor

AU - Perevozchikov, Georgy

AU - Ermakov, Ivan

AU - Banić, Nikola

AU - Timofte, Radu

AU - Collins, Richard

AU - Efimova, Maria

AU - Terekhin, Arseniy

AU - Zini, Simone

AU - Rota, Claudio

AU - Buzzelli, Marco

AU - Bianco, Simone

AU - Schettini, Raimondo

AU - Lei, Chunxia

AU - Wang, Tingniao

AU - Wang, Song

AU - Liu, Shuai

AU - Feng, Chaoyu

AU - Shao, Guangqi

AU - Wang, Hao

AU - Wang, Xiaotao

AU - Lei, Lei

AU - Xu, Lu

AU - Zhang, Chao

AU - Wang, Yasi

AU - Guo, Jin

AU - Sun, Yangfan

AU - Liu, Tianli

AU - Hao, Dejun

AU - Kinli, Furkan

AU - Özcan, Bariş

AU - Kiraç, Furkan

AU - Chung, Hyerin

AU - Lee, Nakyung

AU - Kwak, Sung Keun

AU - Conde, Marcos

AU - Elezabi, Omar

AU - Seizinger, Tim

AU - Vasluianu, Florin

AU - Hsieh, Chia Hsuan

AU - Chen, Wei Ting

AU - Yang, Hao Hsiang

AU - Huang, Zhi Kai

AU - Chang, Hua En

AU - Chen, I. Hsiang

AU - Chen, Yi Chung

AU - Chiang, Yuan Chun

AU - Kuo, Sy Yen

PY - 2023

Y1 - 2023

N2 - This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. To evaluate the results, a sufficient number of viewers were asked to assess the visual quality of the proposed solutions, considering the subjective nature of the task. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering. More results can be found at https://nightimaging.org/

AB - This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. To evaluate the results, a sufficient number of viewers were asked to assess the visual quality of the proposed solutions, considering the subjective nature of the task. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering. More results can be found at https://nightimaging.org/

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U2 - 10.1109/CVPRW59228.2023.00192

DO - 10.1109/CVPRW59228.2023.00192

M3 - 会议稿件

AN - SCOPUS:85168261632

T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

SP - 1982

EP - 1993

BT - Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

PB - IEEE Computer Society

T2 - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

Y2 - 18 June 2023 through 22 June 2023

ER -

Shutova A, Ershov E, Perevozchikov G, Ermakov I, Banić N, Timofte R et al. NTIRE 2023 Challenge on Night Photography Rendering. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society. 2023. p. 1982-1993. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW59228.2023.00192

NTIRE 2023 Challenge on Night Photography Rendering

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