A platform for research: civil engineering, architecture and urbanism
Application of Deep Generative Models in the Design of Buildings and Structures
This article explores the possibilities of using generative models in the design of capital construction facilities and their interiors. The article presents practical and theoretical research methods for testing several models, including diffusion generative models and generative transformers-based language models. The results are divided into three groups: working with images, working with text and writing programs. The article shows that generative models can simplify and speed up the work of designers. However, the accuracy of the models needs to be improved. In general, the results indicate that generative models can be effectively used for tasks that do not require high accuracy.
Application of Deep Generative Models in the Design of Buildings and Structures
This article explores the possibilities of using generative models in the design of capital construction facilities and their interiors. The article presents practical and theoretical research methods for testing several models, including diffusion generative models and generative transformers-based language models. The results are divided into three groups: working with images, working with text and writing programs. The article shows that generative models can simplify and speed up the work of designers. However, the accuracy of the models needs to be improved. In general, the results indicate that generative models can be effectively used for tasks that do not require high accuracy.
Application of Deep Generative Models in the Design of Buildings and Structures
Lecture Notes in Civil Engineering
Kang, Thomas (editor) / Lee, Youngjin (editor) / Kanukhin, Aleksandr (author) / Rynkovskaya, Marina (author)
International Conference on Civil Engineering and Architecture ; 2023 ; Bali Island, Indonesia
2024-07-25
9 pages
Article/Chapter (Book)
Electronic Resource
English
Generative Deep Learning in Architectural Design
Taylor & Francis Verlag | 2019
|Generative AI design for building structures
Elsevier | 2023
|