Color Recommendation for Vector Graphic Documents based on Multi-Palette Representation

• URL: http://arxiv.org/abs/2209.10820v1
• Date: Thu, 22 Sep 2022 07:06:17 GMT
• Title: Color Recommendation for Vector Graphic Documents based on Multi-Palette Representation
• Authors: Qianru Qiu, Xueting Wang, Mayu Otani, Yuki Iwazaki
• Abstract summary: We extract multiple color palettes from each visual element in a graphic document, and then combine them into a color sequence. We train the model and build a color recommendation system on a large-scale dataset of vector graphic documents.
• Score: 12.71266194474117
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Vector graphic documents present multiple visual elements, such as images, shapes, and texts. Choosing appropriate colors for multiple visual elements is a difficult but crucial task for both amateurs and professional designers. Instead of creating a single color palette for all elements, we extract multiple color palettes from each visual element in a graphic document, and then combine them into a color sequence. We propose a masked color model for color sequence completion and recommend the specified colors based on color context in multi-palette with high probability. We train the model and build a color recommendation system on a large-scale dataset of vector graphic documents. The proposed color recommendation method outperformed other state-of-the-art methods by both quantitative and qualitative evaluations on color prediction and our color recommendation system received positive feedback from professional designers in an interview study.

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