文化启发的多模态配色生成与配色：一个中国青年亚文化案例
Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case
AI总结：
本文通过构建基于中国青年亚文化的配色数据集，提出多模态生成框架，实现具有亚文化特色的配色方案，通过用户研究验证其有效性。
摘要：
色彩是图形设计中的重要组成部分，不仅作为视觉因素，还承载着文化含义。然而，现有算法色彩调色板生成和色彩化研究大多忽视了文化因素。在本文中，我们通过构建一个受特定文化启发的独特色彩数据集，即中国青年亚文化（CYS），为Gen Z群体提供了一个活跃且流行的文化群体。我们展示了CYS中使用的颜色具有特殊的审美和语义特征，这些特征与通用色彩理论不同。我们随后开发了一个交互式多模态生成框架，用于创建具有CYS风格的色彩调色板，该调色板可用于通过我们的自动色彩化模型为图像增添CYS的特色。我们的框架通过基于人机协作原则设计的演示系统进行说明，该系统持续为我们的算法提供反馈。还进行了用户研究以评估我们的生成结果。
英文摘要：
Color is an essential component of graphic design, acting not only as a visual factor but also carrying cultural implications. However, existing research on algorithmic color palette generation and colorization largely ignores the cultural aspect. In this paper, we contribute to this line of research by first constructing a unique color dataset inspired by a specific culture, i.e., Chinese Youth Subculture (CYS), which is an vibrant and trending cultural group especially for the Gen Z population. We show that the colors used in CYS have special aesthetic and semantic characteristics that are different from generic color theory. We then develop an interactive multi-modal generative framework to create CYS-styled color palettes, which can be used to put a CYS twist on images using our automatic colorization model. Our framework is illustrated via a demo system designed with the human-in-the-loop principle that constantly provides feedback to our algorithms. User studies are also conducted to evaluate our generation results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
