Abstract Generative Adversarial Networks (GANs) are a type of deep neural network that
have achieved many state-of-the-art results for generative tasks. GANs can be useful in the …

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

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 …

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

The layout design of the frame structure beams is a critical task in frame structure design.
Traditional automatic layout methods often rely on established rules. However, the …

Structural scheme design of shear wall structures is important because it is the first stage
that guides the project along its entire structural design process and significantly impacts the …

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 …

Beam and slab design is a critical component of shear wall structure design. Currently,
conventional manual design is time-consuming, and defining objective functions and design …

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 …

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 …