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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.10121 |
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| _version_ | 1866917731673047040 |
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| author | van Engelenburg, Casper Mostafavi, Fatemeh Kuhn, Emanuel Jeon, Yuntae Franzen, Michael Standfest, Matthias van Gemert, Jan Khademi, Seyran |
| author_facet | van Engelenburg, Casper Mostafavi, Fatemeh Kuhn, Emanuel Jeon, Yuntae Franzen, Michael Standfest, Matthias van Gemert, Jan Khademi, Seyran |
| contents | 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 \textbf{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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_10121 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes van Engelenburg, Casper Mostafavi, Fatemeh Kuhn, Emanuel Jeon, Yuntae Franzen, Michael Standfest, Matthias van Gemert, Jan Khademi, Seyran Computer Vision and Pattern Recognition 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 \textbf{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. |
| title | MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2407.10121 |