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EXPLORING DEEP GENERATIVE MODELS IN BUILDING DESIGN

Accepted version
Peer-reviewed

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Authors

Parn, E 
Brilakis, I 
Pan, N 
Wang, M 

Abstract

The complex and time-consuming nature of building design necessitates meticulous attention to detail and adherence to principles. Automation in the design process is crucial with a growing demand for innovative and sustainable structures. This review explores the transformative impact of integrating deep generative models into building design, showcasing their ability to generate realistic 3D models, layouts, and structural designs. These models address challenges in architectural design and sustainability assessment, enabling generative design and energy-efficient building design. The review suggests potential solutions and highlights the role of the models in enhancing sustainability, cost-efficiency, and creativity in the built environment.

Description

Keywords

Journal Title

Proceedings of the European Conference on Computing in Construction

Conference Name

2024 European Conference on Computing in Construction

Journal ISSN

2684-1150
2684-1150

Volume Title

Publisher

European Council for Computing in Construction
Sponsorship
EPSRC (via University of Birmingham) (2108169)