Abstract
This paper reviews published research in the field of computer-aided colorization technology. We argue that the colorization task originates from computer graphics, prospers by introducing computer vision, and tends to the fusion of vision and graphics, so we put forward our taxonomy and organize the whole paper chronologically. We extend the existing reconstruction-based colorization evaluation techniques, considering that aesthetic assessment of colored images should be introduced to ensure that colorization satisfies human visual-related requirements and emotions more closely. We perform the colorization aesthetic assessment on seven representative unconditional colorization models and discuss the difference between our assessment and the existing reconstruction-based metrics. Finally, this paper identifies unresolved issues and proposes fruitful areas for future research and development. Access to the project associated with this survey can be obtained at this https URL.
Abstract (translated)
本文回顾了计算机辅助色彩技术领域的已发表研究。我们认为，色彩化任务起源于计算机图形学，通过引入计算机视觉而得到发展，并且倾向于将视觉和图形融合。因此，我们提出了我们的分类体系并按时间顺序组织整篇文章。我们扩展了现有的基于重构的颜色化评估技术，考虑到色彩化应满足人类视觉相关需求和情感，从而使色彩化更加接近人类视觉体验。我们对七个具有代表性的无条件色彩化模型进行了色彩化美学评估，并讨论了我们的评估与现有基于重构的指标之间的差异。最后，本文指出了未解决的问题，并为未来的研究和开发提出了有前景的领域。与本调查相关的项目可以通过此链接获取：https://www.academia.edu/39511842/Unresolved_Issues_and_Future_Research_Development_in_Computer_Aided_Colorization_ Technology.
URL
https://arxiv.org/abs/2410.02288
