Computer-Aided Colorization State-of-the-Science: A Survey

This article reviews published research in the field of computer-aided colorization technology. We argue that within this context, the colorization task can be considered to originate from computer graphics, advance by introducing computer vision, and progress towards the fusion of vision and graphics. Hence, we propose a specific taxonomy and organize the research work chronologically. We extend the existing reconstruction-based colorization evaluation techniques on the basis that aesthetic assessment should be introduced to ensure the computer-coloredimages closely satisfy human visual-related requirements. We then perform an aesthetic assessment using the proposed metric and existing evaluations, comparing the colorization performance of seven representative unconditional colorization models. Finally, we identify unresolved issues and propose fruitful areas for future research and development.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-02-18
DOI
https://doi.org/10.1109/tvcg.2025.3543527
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Computer-Aided Colorization State-of-the-Science: A Survey

Xinhui Duan, P.Y. Mok, Tong‐Yee Lee, Xiangqiao Meng et al.
IEEE Transactions on Visualization and Computer Graphics
Color Science and Applications
article

Computer-Aided Colorization State-of-the-Science: A Survey

Xinhui Duan, P.Y. Mok, Tong‐Yee Lee, Xiangqiao Meng, Ping Li, Yu Cao
article en

Abstract

This article reviews published research in the field of computer-aided colorization technology. We argue that within this context, the colorization task can be considered to originate from computer graphics, advance by introducing computer vision, and progress towards the fusion of vision and graphics. Hence, we propose a specific taxonomy and organize the research work chronologically. We extend the existing reconstruction-based colorization evaluation techniques on the basis that aesthetic assessment should be introduced to ensure the computer-coloredimages closely satisfy human visual-related requirements. We then perform an aesthetic assessment using the proposed metric and existing evaluations, comparing the colorization performance of seven representative unconditional colorization models. Finally, we identify unresolved issues and propose fruitful areas for future research and development.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(10)
Hong Kong Polytechnic University (HK), National Cheng Kung University (TW)
Openalex Percentile: Top 98%
Color Science and Applications
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Computer-Aided Colorization State-of-the-Science: A Survey — Xinhui Duan, P.Y. Mok, et al. · IEEE Transactions on Visualization and Computer Graphics (2025) | TGRS Research Map | TGRS