Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design

• URL: http://arxiv.org/abs/2308.00227v1
• Date: Tue, 1 Aug 2023 01:51:59 GMT
• Title: Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design
• Authors: Jaechang Ko, John Ajibefun, Wei Yan
• Abstract summary: The study experiments with the potential of ChatGPT and generative AI in 3D architectural design. The framework provides architects with an intuitive and powerful method to convey design intent.
• Score: 4.710049212041078
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper introduces a new architectural design framework that utilizes generative AI tools including ChatGPT and Veras with parametric modeling and Building Information Modeling (BIM) to enhance the design process. The study experiments with the potential of ChatGPT and generative AI in 3D architectural design, extending beyond its use in text and 2D image generation. The proposed framework promotes collaboration between architects and AI, facilitating a quick exploration of design ideas and producing context-sensitive, creative design generation. By integrating ChatGPT for scripting and Veras for generating design ideas with widely used parametric modeling and BIM tools, the framework provides architects with an intuitive and powerful method to convey design intent, leading to more efficient, creative, and collaborative design processes.

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