AI-Driven Design and Generative Architecture

Sketch-to-Architecture: Generative AI-aided Architectural Design

Pengzhi Li, Baijuan Li, Zhiheng Li

Published 2024-03-29

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Recently, the development of large-scale models has paved the way for various interdisciplinary research, including architecture. By using generative AI, we present a novel workflow that utilizes AI models to generate conceptual floorplans and 3D models from simple sketches, enabling rapid ideation and controlled generation of architectural renderings based on textual descriptions. Our work demonstrates the potential of generative AI in the architectural design process, pointing towards a new direction of computer-aided architectural design.

Abstract

Recently, the development of large-scale models has paved the way for various interdisciplinary research, including architecture. By using generative AI, we present a novel workflow that utilizes AI models to generate conceptual floorplans and 3D models from simple sketches, enabling rapid ideation and controlled generation of architectural renderings based on textual descriptions. Our work demonstrates the potential of generative AI in the architectural design process, pointing towards a new direction of computer-aided architectural design.

Topics

2D floor plan3D floor planGenerative Design and Design Space Explorationconditional generationdesign automationgeometry generationimage-to-plantext-to-3D

Cite this paper

@misc{li2024sketchtoarchitecture,
      title={Sketch-to-Architecture: Generative AI-aided Architectural Design},
      author={Pengzhi Li and Baijuan Li and Zhiheng Li},
      year={2024},
      eprint={2403.20186},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2403.20186},
}