skip to main content
10.1145/3681756.3697884acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
poster

Boundary Conditioned Floor Layout Generation with Diffusion Model

Published: 02 December 2024 Publication History

Abstract

Automated floor plan generation that aligns with exterior wall boundaries is crucial in architectural design. Existing methods using GANs lack accuracy and require raster-to-vector conversion. Our study employs Diffusion Models and Transformers, incorporating self-attention mechanisms between exterior wall coordinates and room corners. This approach effectively generates diverse, accurate floor plans in vector format conditioned on exterior boundaries, addressing key challenges unmet by previous methods.

Supplemental Material

GIF File
Examples of generated floor plans and the boundaries

References

[1]
Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver Van Kaick, Hao Zhang, and Hui Huang. 2020. Graph2Plan: Learning Floorplan Generation from Layout Graphs. ACM Transactions on Graphics 39 (7 2020). Issue 4.
[2]
Mohammad Amin Shabani, Sepidehsadat Hosseini, and Yasutaka Furukawa. 2023. Housediffusion: Vector floorplan generation via a diffusion model with discrete and continuous denoising. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 5466–5475.
[3]
Abhinav Upadhyay, Alpana Dubey, Veenu Arora, Suma Mani Kuriakose, and Shaurya Agarawal. 2022. Flnet: graph constrained floor layout generation. In 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 1–6.
[4]
Wenming Wu, Xiao Ming Fu, Rui Tang, Yuhan Wang, Yu Hao Qi, and Ligang Liu. 2019. Data-driven interior plan generation for residential buildings. ACM Transactions on Graphics 38 (11 2019). Issue 6.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SA '24: SIGGRAPH Asia 2024 Posters
December 2024
260 pages
ISBN:9798400711381
DOI:10.1145/3681756
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2024

Check for updates

Qualifiers

  • Poster

Conference

SA '24
Sponsor:
SA '24: SIGGRAPH Asia 2024 Posters
December 3 - 6, 2024
Tokyo, Japan

Acceptance Rates

Overall Acceptance Rate 178 of 869 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 158
    Total Downloads
  • Downloads (Last 12 months)158
  • Downloads (Last 6 weeks)123
Reflects downloads up to 17 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Full Text

View this article in Full Text.

Full Text

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media