mlsanityData to 7 Oct 2026

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

arXiv 2403.20186 ↗First posted 29 Mar 2024cs.CVcited by 4

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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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  12. 2019Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?cited by 675
5 more
  1. 2022Blended Latent Diffusioncited by 430
  2. 2020House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generationcited by 86
  3. 2023LayerDiffusion: Layered Controlled Image Editing with Diffusion Modelscited by 40
  4. 2022DALLE-URBAN: Capturing the urban design expertise of large text to image transformerscited by 12
  5. 2023Architext: Language-Driven Generative Architecture Designcited by 5

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Citing papers per year: 2024: 4.

4 papers.