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.
이용수
초록· 키워드
This study analyzes the visual language of H.R. Giger and applies it to generative AI-based textile pattern design, ultimately implementing these patterns on 3D virtual garments. Key visual elements from Giger's work—such as the biomechanical fusion of organic and mechanical forms, symmetrical structures, and metallic textures—were extracted and converted into text prompts for the image generation platform Midjourney. The AI-generated images were then post-processed in Adobe Photoshop to create seamless, tileable patterns. These patterns were applied to virtual garments, including shirts, dresses, and scarves, using CLO 3D to assess their visual effectiveness. The results indicate that the AI-generated patterns successfully captured Giger's distinctive aesthetic, demonstrating high visual precision and repeatability suitable for textile design. Variations in prompt composition resulted in different visual outcomes, and the effectiveness of the patterns varied depending on the garment type in the 3D simulations. By establishing a creative workflow that connects an artist’s unique visual language with AI-driven design, this research offers a concrete methodology with potential applications in both professional fashion practice and design education.
#생성형 인공지
#텍스타일 패턴 디자인
#한스 루돌프 기거
#바이오메카닉 미학
#가상 의상 시뮬레이션
#generative AI
#textile pattern design
#HR Giger
#biomechanical aesthetics
#virtual garment simulation
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
목차
등록된 정보가 없습니다.
참고문헌
참고문헌 신청최근 본 자료
