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EXPLORING DEEP GENERATIVE MODELS IN BUILDING DESIGN

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Peer-reviewed

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Authors

Parn, Erika 
Brilakis, Ioannis 
Pan, Ning 
Wang, mudan 

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.

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Conference Name

2024 European Conference on Computing in Construction

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Sponsorship
EPSRC (via University of Birmingham) (2108169)