논문집

원문다운로드
논문명 공간 아이덴티티를 반영한 공간 디자인 시각화를 위한 생성형 인공지능 활용 접근 방법/An Approach to Utilizing Generative AI for Spatial Design Visualization based on Space Identity
저자명 신재영(Shin, Jaeyoung) ; 이진국(Lee, Jin-Kook)
발행사 한국실내디자인학회
수록사항 한국실내디자인학회 논문집  , Vol.32 No.6(통권 161호)
페이지 시작페이지(26) 총페이지(11)
ISSN 12297992
주제분류 계획및설계
주제어 생성형 인공지능; 공간 아이덴티티; 공간 디자인 시각화; 이미지 생성 Generative Artificial Intelligence; Space Identity; Spatial Design Visualization; Image Generation
요약2 Numerous companies have embraced space marketing strategies as a means to cultivate a unique brand identity and image. The design of interior spaces has emerged as a pivotal role in conveying the brand image by crafting a distinct spatial identity. Traditionally, designers conceptualize spatial identity and subsequently iterate through the process of generating and visualizing a multitude of design alternatives to ultimately arrive at the optimal spatial design. The advent of Generative AI has exhibited exceptional capabilities in the realm of image creation and is poised to significantly enhance the efficiency of creative design work. This paper introduces an innovative approach to visualizing interior space design that captures the elements of spatial identity through the utilization of image generation AI technology. In pursuit of this objective, we have developed a spatial identity visualization model with a range of materials, shapes/patterns, and colors, utilizing real-world interior design cases as training data source. Furthermore, we present diverse application methodologies for leveraging this trained model, offering practical insights through empirical cases across three distinct scenarios. The proposed approach is expected to contribute to streamlining the early phase of design by facilitating the generation of reference images based on the designated spatial identity. In addition, this enables designers to swiftly explore customized space design alternatives and develop imaginative space designs, thereby reinforcing the spatial identity.
소장처 한국실내디자인학회