# MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes

arXiv: https://arxiv.org/abs/2407.10121 · HTML: https://mlsanity.com/paper/2407.10121/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- Builds on 12 of its 36 references that are in the map.
- First posted on arXiv 14 Jul 2024.

## Builds on (most cited first, 12 of 12)

- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://mlsanity.com/paper/1505.04597/) (2015)
- [Semi-Supervised Classification with Graph Convolutional Networks](https://mlsanity.com/paper/1609.02907/) (2016)
- [Graph Attention Networks](https://mlsanity.com/paper/1710.10903/) (2017)
- [Segment Anything](https://mlsanity.com/paper/2304.02643/) (2023)
- [House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation](https://mlsanity.com/paper/2003.06988/) (2020)
- [HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising](https://mlsanity.com/paper/2211.13287/) (2022)
- [CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis](https://mlsanity.com/paper/1904.01920/) (2019)
- [Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction](https://mlsanity.com/paper/1912.01756/) (2019)
- [Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation](https://mlsanity.com/paper/2401.07721/) (2024)
- [Versailles-FP dataset: Wall Detection in Ancient](https://mlsanity.com/paper/2103.08064/) (2021)
- [SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity](https://mlsanity.com/paper/2309.04357/) (2023)
- [Generating Topological Structure of Floorplans from Room Attributes](https://mlsanity.com/paper/2204.12338/) (2022)

## Built on by (most cited first, 14 of 14)

- [ResPlan: A Large-Scale Vector-Graph Dataset of 17,000 Residential Floor Plans](https://mlsanity.com/paper/2508.14006/) (2025)
- [MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks](https://mlsanity.com/paper/2603.11554/) (2026)
- [C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction](https://mlsanity.com/paper/2511.18559/) (2025)
- [Generation of Uncertainty-Aware High-Level Spatial Concepts in Factorized 3D Scene Graphs via Graph Neural Networks](https://mlsanity.com/paper/2409.11972/) (2024)
- [LayoutGKN: Graph Similarity Learning of Floor Plans](https://mlsanity.com/paper/2509.03737/) (2025)
- [DoorDet: Semi-Automated Multi-Class Door Detection Dataset via Object Detection and Large Language Models](https://mlsanity.com/paper/2508.07714/) (2025)
- [Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans](https://mlsanity.com/paper/2603.11640/) (2026)
- [BuildingBRep-11K: Precise Multi-Storey B-Rep Building Solids with Rich Layout Metadata](https://mlsanity.com/paper/2506.15718/) (2025)
- [HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes](https://mlsanity.com/paper/2606.06390/) (2026)
- [Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans](https://mlsanity.com/paper/2606.10953/) (2026)
- [Towards an automated AI-based framework for floor plan compliance checks for residential buildings](https://mlsanity.com/paper/2607.00015/) (2026)
- [Mitigating Domain Shift in Conditioned Floor Plan Generation: Synthetic Pre-training for Data-Efficient Adaptation](https://mlsanity.com/paper/2607.06483/) (2026)
- [ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modeling](https://mlsanity.com/paper/2608.06772/) (2026)
- [ModRes: A modification of the ResPlan dataset ready for floor plan analysis and graph machine learning](https://mlsanity.com/paper/2610.17178/) (2026)

## Abstract (arXiv)

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.