인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
DBpia Top 5%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Artificial Intelligence (AI) is revolutionizing the fashion industry, with constant innovation driving the development of new methods for enhancing efficiency and reducing costs in the design process. This study examines the impacts of AI technologies across the five key stages of the fashion design process, emphasizing their core benefits and identifying the main challenges they present. In the data collection and analysis phases of fashion design, AI technologies, such as big data analytics, natural language processing (NLP), computer vision, and sentiment analysis, are employed to assess market trends and consumer behaviors. In terms of concept development, AI tools such as Ablo AI and Designovel automatically generate design drafts and provide data-driven trend forecasts, while platforms such as Khroma facilitate color palette selection. In the design phase, AI facilitates pattern and material creation and makes real-time adjustments through virtual fitting, with tools such as YesPlz and Botika providing high-quality virtual models. In the sample production and evaluation stage, AI enables virtual sample creation and automated quality assessments, enhancing the effi- ciency and cost-effectiveness of product development. Finally, in the production and execution phase, AI optimizes supply chain management, automates production, and develops customized and stratified marketing strategies. Despite these advancements, certain challenges persist, including data quality and bias issues, limited innovation due to reliance on existing patterns, and difficulties in accurately replicating physical samples virtually. The findings of our research highlight that to enable the optimal integration of AI technologies into the fashion design process, ongoing research and development projects must address these challenges and generate novel technologies that can successfully overcome them.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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