This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

Accommodating predicted population growth and urbanization within the UN Climate Goals
poses a significant challenge for disciplines that engage with the built environment. High …

Massive datasets and high-capacity models have driven many recent advancements in
computer vision and natural language understanding. This work presents a platform to …

The paper presents a novel approach for vector-floorplan generation via a diffusion model,
which denoises 2D coordinates of room/door corners with two inference objectives: 1) a …

Designing building structures presents various challenges, including inefficient design
processes, limited data reuse, and the underutilization of previous design experience …

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

Inspired by cognitive theories, we introduce AnyHome, a framework that translates any text
into well-structured and textured indoor scenes at a house-scale. By prompting Large …

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

Designing architectural layouts is a complex task that has garnered significant attention in
the research community. While automated site layout design and flat layout design have …

An architectural floorplan is a class of drawings that reflects the layout of rooms. The
difference between a floorplan and a natural image and its dual features as both a vector …