MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results

Yaqi Wu; Zhihao Fan; Hirotaka Shinozaki; Frank Zhang; Xander Li; Alexis Baudron; Shuang Zhao; Wenbin Feng; Jin Han; Cheng Li; Yihui Shi; Dehua Song; Zheng Chen; Wenbo Li; Fenglong Song; Yihong Leng; Siming Zheng; Peng Tao Jiang; Linxiao Shi; Jinwei Chen; Bo Li; Jiaojiao Li; Cheng Li; Jinao Song; Yan Chen; Yajing Wei; Yuqiang Yang; Jian Tang; Long Bao; Heng Sun; Yang Qiu; Kean Liu; Senyan Xu; Zhijing Sun; Jiaying Zhu; Chengjie Ge; Xingbo Wang; Yidi Liu; Xin Lu; Xueyang Fu; Zheng Jun Zha; Qinglin Liu; Wei Yu; Yunfan Lu; Xiangming Wang; Shuqi Ren; Haijin Zeng; Jinchao Li; Shiyang Zhou; Yongyong Chen; Qichao Dong; Junqi Lu

doi:10.1109/ICCVW69036.2025.00408

MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results

Yaqi Wu
, Zhihao Fan
, Hirotaka Shinozaki
, Frank Zhang
, Xander Li
, Alexis Baudron
, Shuang Zhao
, Wenbin Feng
, Jin Han
, Cheng Li
, Yihui Shi
, Dehua Song
, Zheng Chen
, Wenbo Li
, Fenglong Song
, Yihong Leng
, Siming Zheng
, Peng Tao Jiang
, Linxiao Shi
, Jinwei Chen

Bo Li, Jiaojiao Li, Cheng Li, Jinao Song, Yan Chen, Yajing Wei, Yuqiang Yang, Jian Tang, Long Bao, Heng Sun, Yang Qiu, Kean Liu, Senyan Xu, Zhijing Sun, Jiaying Zhu, Chengjie Ge, Xingbo Wang, Yidi Liu, Xin Lu, Xueyang Fu, Zheng Jun Zha, Qinglin Liu, Wei Yu, Yunfan Lu, Xiangming Wang, Shuqi Ren, Haijin Zeng, Jinchao Li, Shiyang Zhou, Yongyong Chen, Qichao Dong, Junqi Lu

VisionXtreme Pte Ltd
AlpsenTek
Sony Electronics Inc.
Huawei Technologies Co., Ltd.
Shanghai Jiao Tong University
Xidian University
Vivo Mobile Communication Co. Ltd.
Xiaomi
University of Science and Technology of China
Harbin Institute of Technology Weihai
Tsinghua University
The Hong Kong University of Science and Technology (Guangzhou)
Harbin Institute of Technology Shenzhen
Harvard University
University of Macau

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

Abstract

The demand for computational photography on mobile devices is growing, pushing the development of better image sensors and algorithms. To support this progress and connect industry with academia, we are launching the forth MIPI Challenge in conjunction with ICCV 2025, following successful workshops at CVPR 2024 and CVPR 2023. This challenge includes three tracks on new image sensors and imaging methods. This paper reviews the Deblurring Challenge for Hybrid EVS Cameras at MIPI2025. With 130 participants from both industry and academia, the challenge attracted a wide range of innovative solutions and pushed reconstruction quality to a new level. This paper presents a detailed overview and analysis of the solutions developed for this challenge. More information is available at: https://mipi-challenge.org/MIPI2025

Original language	English
Title of host publication	Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3924-3934
Number of pages	11
ISBN (Electronic)	9798331589882
DOIs	https://doi.org/10.1109/ICCVW69036.2025.00408
State	Published - 2025
Externally published	Yes
Event	2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025 - Honolulu, United States Duration: 19 Oct 2025 → 20 Oct 2025

Publication series

Name	Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025

Conference

Conference	2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025
Country/Territory	United States
City	Honolulu
Period	19/10/25 → 20/10/25

Keywords

Computational Photography
Hybrid EVS Cameras
Image Deblurring

Access to Document

10.1109/ICCVW69036.2025.00408

Cite this

Wu, Y., Fan, Z., Shinozaki, H., Zhang, F., Li, X., Baudron, A., Zhao, S., Feng, W., Han, J., Li, C., Shi, Y., Song, D., Chen, Z., Li, W., Song, F., Leng, Y., Zheng, S., Jiang, P. T., Shi, L., ... Lu, J. (2025). MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results. In Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025 (pp. 3924-3934). (Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW69036.2025.00408

Wu, Yaqi ; Fan, Zhihao ; Shinozaki, Hirotaka et al. / MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera : Methods and Results. Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 3924-3934 (Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025).

@inproceedings{ff7e7da84b9843188ddd940ab0390a2e,

title = "MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results",

abstract = "The demand for computational photography on mobile devices is growing, pushing the development of better image sensors and algorithms. To support this progress and connect industry with academia, we are launching the forth MIPI Challenge in conjunction with ICCV 2025, following successful workshops at CVPR 2024 and CVPR 2023. This challenge includes three tracks on new image sensors and imaging methods. This paper reviews the Deblurring Challenge for Hybrid EVS Cameras at MIPI2025. With 130 participants from both industry and academia, the challenge attracted a wide range of innovative solutions and pushed reconstruction quality to a new level. This paper presents a detailed overview and analysis of the solutions developed for this challenge. More information is available at: https://mipi-challenge.org/MIPI2025",

keywords = "Computational Photography, Hybrid EVS Cameras, Image Deblurring",

author = "Yaqi Wu and Zhihao Fan and Hirotaka Shinozaki and Frank Zhang and Xander Li and Alexis Baudron and Shuang Zhao and Wenbin Feng and Jin Han and Cheng Li and Yihui Shi and Dehua Song and Zheng Chen and Wenbo Li and Fenglong Song and Yihong Leng and Siming Zheng and Jiang, \{Peng Tao\} and Linxiao Shi and Jinwei Chen and Bo Li and Jiaojiao Li and Cheng Li and Jinao Song and Yan Chen and Yajing Wei and Yuqiang Yang and Jian Tang and Long Bao and Heng Sun and Yang Qiu and Kean Liu and Senyan Xu and Zhijing Sun and Jiaying Zhu and Chengjie Ge and Xingbo Wang and Yidi Liu and Xin Lu and Xueyang Fu and Zha, \{Zheng Jun\} and Qinglin Liu and Wei Yu and Yunfan Lu and Xiangming Wang and Shuqi Ren and Haijin Zeng and Jinchao Li and Shiyang Zhou and Yongyong Chen and Qichao Dong and Junqi Lu",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025 ; Conference date: 19-10-2025 Through 20-10-2025",

year = "2025",

doi = "10.1109/ICCVW69036.2025.00408",

language = "英语",

series = "Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3924--3934",

booktitle = "Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025",

address = "美国",

}

Wu, Y, Fan, Z, Shinozaki, H, Zhang, F, Li, X, Baudron, A, Zhao, S, Feng, W, Han, J, Li, C, Shi, Y, Song, D, Chen, Z, Li, W, Song, F, Leng, Y, Zheng, S, Jiang, PT, Shi, L, Chen, J, Li, B, Li, J, Li, C, Song, J, Chen, Y, Wei, Y, Yang, Y, Tang, J, Bao, L, Sun, H, Qiu, Y, Liu, K, Xu, S, Sun, Z, Zhu, J, Ge, C, Wang, X, Liu, Y, Lu, X, Fu, X, Zha, ZJ, Liu, Q, Yu, W, Lu, Y, Wang, X, Ren, S, Zeng, H, Li, J, Zhou, S, Chen, Y, Dong, Q & Lu, J 2025, MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results. in Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025. Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025, Institute of Electrical and Electronics Engineers Inc., pp. 3924-3934, 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025, Honolulu, United States, 19/10/25. https://doi.org/10.1109/ICCVW69036.2025.00408

MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results. / Wu, Yaqi; Fan, Zhihao; Shinozaki, Hirotaka et al.
Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025. Institute of Electrical and Electronics Engineers Inc., 2025. p. 3924-3934 (Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025).

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

TY - GEN

T1 - MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera

T2 - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025

AU - Wu, Yaqi

AU - Fan, Zhihao

AU - Shinozaki, Hirotaka

AU - Zhang, Frank

AU - Li, Xander

AU - Baudron, Alexis

AU - Zhao, Shuang

AU - Feng, Wenbin

AU - Han, Jin

AU - Li, Cheng

AU - Shi, Yihui

AU - Song, Dehua

AU - Chen, Zheng

AU - Li, Wenbo

AU - Song, Fenglong

AU - Leng, Yihong

AU - Zheng, Siming

AU - Jiang, Peng Tao

AU - Shi, Linxiao

AU - Chen, Jinwei

AU - Li, Bo

AU - Li, Jiaojiao

AU - Li, Cheng

AU - Song, Jinao

AU - Chen, Yan

AU - Wei, Yajing

AU - Yang, Yuqiang

AU - Tang, Jian

AU - Bao, Long

AU - Sun, Heng

AU - Qiu, Yang

AU - Liu, Kean

AU - Xu, Senyan

AU - Sun, Zhijing

AU - Zhu, Jiaying

AU - Ge, Chengjie

AU - Wang, Xingbo

AU - Liu, Yidi

AU - Lu, Xin

AU - Fu, Xueyang

AU - Zha, Zheng Jun

AU - Liu, Qinglin

AU - Yu, Wei

AU - Lu, Yunfan

AU - Wang, Xiangming

AU - Ren, Shuqi

AU - Zeng, Haijin

AU - Li, Jinchao

AU - Zhou, Shiyang

AU - Chen, Yongyong

AU - Dong, Qichao

AU - Lu, Junqi

PY - 2025

Y1 - 2025

N2 - The demand for computational photography on mobile devices is growing, pushing the development of better image sensors and algorithms. To support this progress and connect industry with academia, we are launching the forth MIPI Challenge in conjunction with ICCV 2025, following successful workshops at CVPR 2024 and CVPR 2023. This challenge includes three tracks on new image sensors and imaging methods. This paper reviews the Deblurring Challenge for Hybrid EVS Cameras at MIPI2025. With 130 participants from both industry and academia, the challenge attracted a wide range of innovative solutions and pushed reconstruction quality to a new level. This paper presents a detailed overview and analysis of the solutions developed for this challenge. More information is available at: https://mipi-challenge.org/MIPI2025

AB - The demand for computational photography on mobile devices is growing, pushing the development of better image sensors and algorithms. To support this progress and connect industry with academia, we are launching the forth MIPI Challenge in conjunction with ICCV 2025, following successful workshops at CVPR 2024 and CVPR 2023. This challenge includes three tracks on new image sensors and imaging methods. This paper reviews the Deblurring Challenge for Hybrid EVS Cameras at MIPI2025. With 130 participants from both industry and academia, the challenge attracted a wide range of innovative solutions and pushed reconstruction quality to a new level. This paper presents a detailed overview and analysis of the solutions developed for this challenge. More information is available at: https://mipi-challenge.org/MIPI2025

KW - Computational Photography

KW - Hybrid EVS Cameras

KW - Image Deblurring

UR - https://www.scopus.com/pages/publications/105035176362

U2 - 10.1109/ICCVW69036.2025.00408

DO - 10.1109/ICCVW69036.2025.00408

M3 - 会议稿件

AN - SCOPUS:105035176362

T3 - Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025

SP - 3924

EP - 3934

BT - Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 19 October 2025 through 20 October 2025

ER -

Wu Y, Fan Z, Shinozaki H, Zhang F, Li X, Baudron A et al. MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results. In Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 3924-3934. (Proceedings - 2025 IEEE/CVF International Conference on Computer Vision Workshops, ICCV-W 2025). doi: 10.1109/ICCVW69036.2025.00408

MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results

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Keywords

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