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.
피인용 0
초록·키워드
This study analyzed the cultural meanings and formative characteristics of Liangshan Yi ceremonial costumes and reinterpreted them through an integrated fashion design process that combined artificial intelligence-generated content (AIGC) with CLO 3D. Literature, visual materials, and field photographs were examined to identify characteristics of form, silhouette, dressing method, color, material, pattern, and decoration. These elements were then converted into design concepts, keywords, and prompts, which were used to generate approximately 200 images. Through consensus-based evaluation, three researchers selected six concepts and, subsequently, two final designs for pattern construction and 3D simulation.
The analysis identified cape-like and wrapping silhouettes, asymmetrical fastenings, multilayered construction, voluminous pleats, radial structures, and elongated decorations. The major formative principles derived from these features included expansion, overlapping, repetition and rhythm, contrast, asymmetrical balance, and visual movement. Design 1 reinterpreted the white wedding cape, layered structure, and pleated skirt as a hooded cape with a multilayered silhouette. Design 2 combined a black palette with an asymmetrical fastening, a wrapping structure, and elongated drapery. The CLO 3D analysis showed relatively high simulated pressure around the waist and shoulders in Design 1 and localized pressure at the side neck in Design 2. A high value observed at the skirt hem of Design 2 was excluded from the wearability interpretation because it occurred in a non-contact area and its cause could not be verified.
This study proposes an integrated process that connects cultural analysis, AIGC-based ideation, pattern construction, and virtual fit evaluation. Within this process, AIGC served as a tool for ideation and visualization, while CLO 3D was used to translate the selected images into garment structures.
The analysis identified cape-like and wrapping silhouettes, asymmetrical fastenings, multilayered construction, voluminous pleats, radial structures, and elongated decorations. The major formative principles derived from these features included expansion, overlapping, repetition and rhythm, contrast, asymmetrical balance, and visual movement. Design 1 reinterpreted the white wedding cape, layered structure, and pleated skirt as a hooded cape with a multilayered silhouette. Design 2 combined a black palette with an asymmetrical fastening, a wrapping structure, and elongated drapery. The CLO 3D analysis showed relatively high simulated pressure around the waist and shoulders in Design 1 and localized pressure at the side neck in Design 2. A high value observed at the skirt hem of Design 2 was excluded from the wearability interpretation because it occurred in a non-contact area and its cause could not be verified.
This study proposes an integrated process that connects cultural analysis, AIGC-based ideation, pattern construction, and virtual fit evaluation. Within this process, AIGC served as a tool for ideation and visualization, while CLO 3D was used to translate the selected images into garment structures.
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.
최근 본 자료 전체보기
