MSD

A Benchmark Dataset for Floor Plan Generation of Building Complexes

Conference Paper (2025)
Author(s)

C.C.J. Engelenburg (TU Delft - Building Knowledge)

F. Mostafavi (TU Delft - Building Knowledge)

Emanuel Kuhn (Student TU Delft)

Yuntae Jeon (Sungkyunkwan University)

Michael Franzen (Independent researcher)

Matthias Standfest (Independent researcher)

J.C. van Gemert (TU Delft - Pattern Recognition and Bioinformatics)

S. Khademi (TU Delft - Building Knowledge)

Research Group
Building Knowledge
DOI related publication
https://doi.org/10.1007/978-3-031-73636-0_4
More Info
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Publication Year
2025
Language
English
Research Group
Building Knowledge
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
60-75
ISBN (print)
978-3-031-73635-3
ISBN (electronic)
978-3-031-73636-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Diverse and realistic floor plan data are essential for the development of useful computer-aided methods in architectural design. Today’s large-scale floor plan datasets predominantly feature simple floor plan layouts, typically representing single-apartment dwellings only. To compensate for the mismatch between current datasets and the real world, we develop Modified Swiss Dwellings (MSD) – the first large-scale floor plan dataset that contains a significant share of layouts of multi-apartment dwellings. MSD features over 5.3K floor plans of medium- to large-scale building complexes, covering over 18.9K distinct apartments. We validate that existing approaches for floor plan generation, while effective in simpler scenarios, cannot yet seamlessly address the challenges posed by MSD. Our benchmark calls for new research in floor plan machine understanding. Code and data are open.

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