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성형 AI 기반 브랜드 아이덴티티 학습을 통한 디자인 적용 방안 - 현대자동차와 BMW의 디자인 스타일을 중심으로

Research output: Contribution to journalArticlepeer-review

Abstract

Recently, Generative Image AI has been applied in product design, but case studies that learn brand identity and apply it to other product groups are still insufficient. Therefore, this study proposes an approach to design new products while maintaining brand identity by using the Generative Image AI model Stable Diffusion. Brand identity was learned from car images of Hyundai Motor and BMW, and then applied to generate designs for scooters, car keys, and robot vacuum cleaners. The results showed that BMW reflected brand identity more effectively than Hyundai, indicating that the effect of image-based learning varies by brand. This study is an attempt to reflect the learning result in the new design based on the image learning ability of the Generative Image AI, and is meaningful in that it presents the possibility as a new design tool to the designer in the future.
Original languageKorean
Pages (from-to)121-136
Number of pages16
Journal디자인융복합연구
Volume24
Issue number6
DOIs
StatePublished - Dec 2025

Keywords

  • Generative AI
  • Brand Identity
  • Design Application
  • Stable Diffusion
  • LoRA
  • ControlNet

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