English

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

Computer Vision and Pattern Recognition 2024-04-01 v1

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. Our project website is available at: https://zrealli.github.io/sketch2arc

Keywords

Cite

@article{arxiv.2403.20186,
  title  = {Sketch-to-Architecture: Generative AI-aided Architectural Design},
  author = {Pengzhi Li and Baijuan Li and Zhiheng Li},
  journal= {arXiv preprint arXiv:2403.20186},
  year   = {2024}
}

Comments

Pacific Graphics 2023, accepted as Poster

R2 v1 2026-06-28T15:38:20.979Z