| Title |
Visualizing Biophilic Design in Residential Spaces With Generative AI |
| Authors |
김지연(Kim, Ji-Yeon) ; 박성준(Park, Sung-Jun) |
| DOI |
https://doi.org/10.5659/JAIK.2024.40.7.61 |
| Keywords |
Generative AI (Artificial Intelligence); Stable Diffusion; LoRA; Biophilic Design; Water Space; Residential Spaces |
| 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. |