Sketch-to-Architecture: Generative AI-aided Architectural Design
| dc.contributor.author | Li, Pengzhi | en_US |
| dc.contributor.author | Li, Baijuan | en_US |
| dc.contributor.author | Li, Zhiheng | en_US |
| dc.contributor.editor | Chaine, Raphaëlle | en_US |
| dc.contributor.editor | Deng, Zhigang | en_US |
| dc.contributor.editor | Kim, Min H. | en_US |
| dc.date.accessioned | 2023-10-09T07:42:52Z | |
| dc.date.available | 2023-10-09T07:42:52Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Recently, the development of large-scale models has paved the way for various interdisciplinary research, including architecture. By using generative AI, we present a novel workflow that utilizes AI models to generate conceptual floorplans and 3D models from simple sketches, enabling rapid ideation and controlled generation of architectural renderings based on textual descriptions. Our work demonstrates the potential of generative AI in the architectural design process, pointing towards a new direction of computer-aided architectural design. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | Pacific Graphics Short Papers and Posters | |
| dc.identifier.doi | 10.2312/pg.20231276 | |
| dc.identifier.isbn | 978-3-03868-234-9 | |
| dc.identifier.pages | 99-102 | |
| dc.identifier.pages | 4 pages | |
| dc.identifier.uri | https://doi.org/10.2312/pg.20231276 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pg20231276 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Computing methodologies -> Modeling and simulation | |
| dc.subject | Computing methodologies | |
| dc.subject | Modeling and simulation | |
| dc.title | Sketch-to-Architecture: Generative AI-aided Architectural Design | en_US |