Sketch-to-Architecture: Generative AI-aided Architectural Design
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Abstract (arXiv)
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
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 17 of its 23 references that are in the map. First posted on arXiv 29 Mar 2024.
Builds on
17 of 23 references.
References · 17
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5 more
- 2022Blended Latent Diffusioncited by 430
- 2020House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generationcited by 86
- 2023LayerDiffusion: Layered Controlled Image Editing with Diffusion Modelscited by 40
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Built on by
Citing papers per year: 2024: 4.
4 papers.
- 2024ART3D: 3D Gaussian Splatting for Text-Guided Artistic Scenes Generationcited by 9
- 2024Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Frameworkcited by 9
- 2024Generating Daylight-driven Architectural Design via Diffusion Modelscited by 2
- 2024Challenges and Opportunities in 3D Content Generationcited by 1
- 2024Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework15 Aug 2024
- 2024Challenges and Opportunities in 3D Content Generation24 May 2024
- 2024ART3D: 3D Gaussian Splatting for Text-Guided Artistic Scenes Generation17 May 2024
- 2024Generating Daylight-driven Architectural Design via Diffusion Models20 Apr 2024