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Color is an essential component of graphic design, acting not only as avisual factor but also carrying cultural implications. However, existingresearch on algorithmic color palette generation and colorization largelyignores the cultural aspect. In this paper, we contribute to this line ofresearch by first constructing a unique color dataset inspired by a specificculture, i.e., Chinese Youth Subculture (CYS), which is an vibrant and trendingcultural group especially for the Gen Z population. We show that the colorsused in CYS have special aesthetic and semantic characteristics that aredifferent from generic color theory. We then develop an interactive multi-modalgenerative framework to create CYS-styled color palettes, which can be used toput a CYS twist on images using our automatic colorization model. Our frameworkis illustrated via a demo system designed with the human-in-the-loop principlethat constantly provides feedback to our algorithms. User studies are alsoconducted to evaluate our generation results.

Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case