Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions
Auteur(s): |
Junming Chen
Duolin Wang Zichun Shao Xu Zhang Mengchao Ruan Huiting Li Jiaqi Li |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 23 août 2023, n. 9, v. 13 |
Page(s): | 2285 |
DOI: | 10.3390/buildings13092285 |
Abstrait: |
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. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
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sur cette fiche - Reference-ID
10740649 - Publié(e) le:
12.09.2023 - Modifié(e) le:
14.09.2023