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    생성형 AI 기반 맥시멀리즘 메이크업 디자인을 활용한 모델 산업의 뉴미디어 콘텐츠 전략에 관한 연구 = A Study on New Media Content Strategies in the Modeling Industry Using Generative AI Based Maximalism Makeup Design

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    https://www.riss.kr/link?id=A109799352

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    This study utilizes Generative Artificial Intelligence (Generative AI) technology to implement Maximalism Makeup Design images and presents them as visual cases of new media-based content in the model industry. The research analyzes the visual characteristics of maximalism aesthetics found in fields such as architecture, fashion, and costume, extracts shared visual languages, and reinterprets them into makeup images through MidJourney. The generated images are assessed as visual assets applicable to various types of model industry content, including digital editorials, avatar visuals, and branded campaigns. These results demonstrate the strategic applicability of AI-generated makeup imagery as a viable content type within the evolving new media environment of the model industry. Furthermore, the study explores the potential of digital transformation in makeup design and the experimental use of AI-generated visual language in creative practices.
    The outcomes of this study offer a practical reference model for future convergence-based content strategies in both the beauty and model industries.
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    This study utilizes Generative Artificial Intelligence (Generative AI) technology to implement Maximalism Makeup Design images and presents them as visual cases of new media-based content in the model industry. The research analyzes the visual charact...

    This study utilizes Generative Artificial Intelligence (Generative AI) technology to implement Maximalism Makeup Design images and presents them as visual cases of new media-based content in the model industry. The research analyzes the visual characteristics of maximalism aesthetics found in fields such as architecture, fashion, and costume, extracts shared visual languages, and reinterprets them into makeup images through MidJourney. The generated images are assessed as visual assets applicable to various types of model industry content, including digital editorials, avatar visuals, and branded campaigns. These results demonstrate the strategic applicability of AI-generated makeup imagery as a viable content type within the evolving new media environment of the model industry. Furthermore, the study explores the potential of digital transformation in makeup design and the experimental use of AI-generated visual language in creative practices.
    The outcomes of this study offer a practical reference model for future convergence-based content strategies in both the beauty and model industries.

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