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

TL;DR

This paper introduces MSD, a large-scale, diverse dataset of complex multi-apartment building floor plans, highlighting the need for new methods to handle realistic architectural data.

Contribution

The creation of MSD, the first extensive dataset of multi-apartment floor plans, addressing the gap in existing simple-layout datasets for architectural design research.

Findings

Existing floor plan generation methods struggle with MSD's complexity.

MSD contains over 5.3K plans of complex building layouts.

The dataset reveals the need for advanced machine understanding in architectural design.

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 \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.