Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions
The exceptional architecture designed by master architects is a shared treasure of humanity, which embodies their design skills and concepts not possessed by common architectural designers. To help ordinary designers improve the design quality, we propose a new artificial intelligence (AI) method fo...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/13/9/2285 |
| _version_ | 1827726901601370112 |
|---|---|
| author | Junming Chen Duolin Wang Zichun Shao Xu Zhang Mengchao Ruan Huiting Li Jiaqi Li |
| author_facet | Junming Chen Duolin Wang Zichun Shao Xu Zhang Mengchao Ruan Huiting Li Jiaqi Li |
| author_sort | Junming Chen |
| collection | DOAJ |
| description | The exceptional architecture designed by master architects is a shared treasure of humanity, which embodies their design skills and concepts not possessed by common architectural designers. To help ordinary designers improve the design quality, we propose a new artificial intelligence (AI) method for generative architectural design, which generates designs with specified styles and master architect quality through a diffusion model based on textual prompts of the design requirements. Compared to conventional methods dependent on heavy intellectual labor for innovative design and drawing, the proposed method substantially enhances the creativity and efficiency of the design process. It overcomes the problem of specified style difficulties in generating high-quality designs in traditional diffusion models. The research results indicated that: (1) the proposed method efficiently provides designers with diverse architectural designs; (2) new designs upon easily altered text prompts; (3) high scalability for designers to fine-tune it for applications in other design domains; and (4) an optimized architectural design workflow. |
| first_indexed | 2024-03-10T22:58:53Z |
| format | Article |
| id | doaj.art-fdc88c00cdf249138693e12c178cbd8a |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-10T22:58:53Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-fdc88c00cdf249138693e12c178cbd8a2023-11-19T09:51:56ZengMDPI AGBuildings2075-53092023-09-01139228510.3390/buildings13092285Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text DescriptionsJunming Chen0Duolin Wang1Zichun Shao2Xu Zhang3Mengchao Ruan4Huiting Li5Jiaqi Li6Faculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaFaculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaFaculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaCollege of Arts, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaFaculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaFaculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaFaculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaThe exceptional architecture designed by master architects is a shared treasure of humanity, which embodies their design skills and concepts not possessed by common architectural designers. To help ordinary designers improve the design quality, we propose a new artificial intelligence (AI) method for generative architectural design, which generates designs with specified styles and master architect quality through a diffusion model based on textual prompts of the design requirements. Compared to conventional methods dependent on heavy intellectual labor for innovative design and drawing, the proposed method substantially enhances the creativity and efficiency of the design process. It overcomes the problem of specified style difficulties in generating high-quality designs in traditional diffusion models. The research results indicated that: (1) the proposed method efficiently provides designers with diverse architectural designs; (2) new designs upon easily altered text prompts; (3) high scalability for designers to fine-tune it for applications in other design domains; and (4) an optimized architectural design workflow.https://www.mdpi.com/2075-5309/13/9/2285architectural designtext to designdesign process optimizationdesign qualitydesign stylediffusion model |
| spellingShingle | Junming Chen Duolin Wang Zichun Shao Xu Zhang Mengchao Ruan Huiting Li Jiaqi Li Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions Buildings architectural design text to design design process optimization design quality design style diffusion model |
| title | Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions |
| title_full | Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions |
| title_fullStr | Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions |
| title_full_unstemmed | Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions |
| title_short | Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions |
| title_sort | using artificial intelligence to generate master quality architectural designs from text descriptions |
| topic | architectural design text to design design process optimization design quality design style diffusion model |
| url | https://www.mdpi.com/2075-5309/13/9/2285 |
| work_keys_str_mv | AT junmingchen usingartificialintelligencetogeneratemasterqualityarchitecturaldesignsfromtextdescriptions AT duolinwang usingartificialintelligencetogeneratemasterqualityarchitecturaldesignsfromtextdescriptions AT zichunshao usingartificialintelligencetogeneratemasterqualityarchitecturaldesignsfromtextdescriptions AT xuzhang usingartificialintelligencetogeneratemasterqualityarchitecturaldesignsfromtextdescriptions AT mengchaoruan usingartificialintelligencetogeneratemasterqualityarchitecturaldesignsfromtextdescriptions AT huitingli usingartificialintelligencetogeneratemasterqualityarchitecturaldesignsfromtextdescriptions AT jiaqili usingartificialintelligencetogeneratemasterqualityarchitecturaldesignsfromtextdescriptions |