A Study on Cubist Art Makeup Design Creation Using Artificial Intelligence Based Image Generation Model

Myoung-Joo Lee, Esther Choi
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Abstract

This study extracted six works from representative artists of Cubism and analyzed the characteristics and expression techniques of the works to construct text prompts. Then, using Bing Image Creator model, an artificial intelligence based image generation model, art makeup design images were generated. The art makeup design created by the image generation model shows original style and expression compared to other studies, and has practicality and completeness that can be implemented as actual art makeup. The aim is to present a new way of creation and result through the integration of AI technology and art. In addition, by analyzing the creation process and result, the aim is to present a new perception and possibility of diversity and expandability of art makeup. This method can increase the accessibility and efficiency of art makeup, and provide new ideas and inspiration to creators. In conclusion, this study is a useful study that shows what role and possibility image generation artificial intelligence model has in the field of art, and it is expected to provide a basis for more in-depth and diverse studies in the future.
基于人工智能图像生成模型的立体派艺术化妆设计创作研究
本研究提取了立体主义代表艺术家的六幅作品,分析了作品的特点和表现手法,构建了文本提示。然后,利用基于人工智能的图像生成模型 Bing Image Creator,生成了艺术化妆设计图像。与其他研究相比,图像生成模型生成的艺术妆容设计展现了独创的风格和表现手法,具有实用性和完整性,可以作为实际的艺术妆容来实施。其目的是通过人工智能技术与艺术的结合,展示一种新的创作方式和成果。此外,通过对创作过程和结果的分析,旨在为艺术化妆的多样性和可扩展性提出一种新的认知和可能性。这种方法可以提高艺术彩妆的可及性和效率,为创作者提供新的思路和灵感。总之,本研究是一项有益的研究,展示了图像生成人工智能模型在艺术领域的作用和可能性,有望为今后更深入、更多样的研究提供基础。
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