Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …

This paper addresses the problem of converting a rasterized floorplan image into a vector-
graphics representation. Unlike existing approaches that rely on a sequence of low-level …

An important aspect of automatic floor plan analysis is the extraction of textual information,
as it is essential for a thorough understanding of the drawing. This paper presents a text …

This paper presents a new approach to recognize elements in floor plan layouts. Besides
walls and rooms, we aim to recognize diverse floor plan elements, such as doors, windows …

Reconstructing building information models (BIMs) based on 2D drawings is an effective
way to realize digital management of existing buildings. However, current image-based …

Recognition and reconstruction of residential floor plan drawings are important and
challenging in design, decoration, and architectural remodeling fields. An automatic …

This paper presents a novel method for the analysis of tabular structures in document
images using the potential of deformable convolutional networks. In order to assess the …

The overall energy efficiency of existing buildings has to be significantly improved to comply
with emerging regulations and to contribute to overcoming current environmental …

Vector graphics (VG) are ubiquitous in industrial designs. In this paper, we address semantic
segmentation of a typical VG, ie, roughcast floorplans with bare wall structures, whose …