Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Visualizing Biophilic Design in Residential Spaces With Generative AI - Focusing on Water Attributes for Direct Experience -

생성형 AI 기반 주거공간의 바이오필릭 디자인 시각화 방안 - 직접적 경험을 위한 물 속성을 중심으로 -

  • Kim, Ji-Yeon (Dept. of Architectural Engineering, Keimyung University) ;
  • Park, Sung-Jun (Dept. of Architectural Engineering, Keimyung University)
  • Received : 2024.05.30
  • Accepted : 2024.07.08
  • Published : 2024.07.30
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Abstract

This study explores a visualization method to incorporate water attributes in residential spaces using generative AI, focusing on the direct experiences of biophilic design. Generative AI, which has recently gained popularity in the architectural design field, efficiently generates new design ideas. Applying water attributes to residential spaces offers residents positive experiences in various ways. Therefore, this study aims to identify the water attributes of biophilic design that positively impact residents and to develop an efficient generative AI-based visualization method. The research method involved analyzing previous studies on generative AI in architecture and water attributes of biophilic design. Images were created using stable diffusion, and prompts representing water attributes were derived to build a dataset for developing the LoRA model. The study then compared and analyzed the prompt-based water attribute visualization method with the LoRA model-based visualization method. This research provides foundational data for visualizing water attributes in biophilic design and contributes by discussing the application of generative AI in architecture-related fields.

Keywords

Acknowledgement

이 연구는 2024년도 한국연구재단 연구비 지원에 의한 결과의 일부임. 과제번호:NRF-2021R1A2C1012228

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