6 papers
Retrieval-Augmented Sketch-Guided 3D Building Generation
Zhengyang Wang, Nuttapong Rochanavibhata, Yuxiao Ren +3
In the early design stage of Japanese detached houses, the lack of a unified design representation among clients, sales representatives, and designers leads to design drift and ine…
LoD Sketch Extraction from Architectural Models Using Generative AI: Dataset Construction for Multi-Level Architectural Design Generation
Xusheng Du, Athiwat Kongkaeo, Ye Zhang +1
For architectural design, representation across multiple Levels of Details (LoD) is essential for achieving a smooth transition from conceptual massing to detailed modeling. Howeve…
Sketch-Based Facade Renovation With Generative AI: A Streamlined Framework for Bypassing As-Built Modelling in Industrial Adaptive Reuse
Warissara Booranamaitree, Xusheng Du, Yushu Cai +3
Facade renovation offers a more sustainable alternative to full demolition, yet producing design proposals that preserve existing structures while expressing new intent remains cha…
From Architectural Sketch to Conceptual Representation: Using Structure-Aware Diffusion Model to Generate Renderings of School Buildings
Zhengyang Wang, Hao Jin, Xusheng Du +3
Generative Artificial Intelligence (AI) has advanced rapidly, enabling the generation of renderings from architectural sketches. This progress has significantly improved the effici…
Multi-View Depth Consistent Image Generation Using Generative AI Models: Application on Architectural Design of University Buildings
Xusheng Du, Ruihan Gui, Zhengyang Wang +2
In the early stages of architectural design, shoebox models are typically used as a simplified representation of building structures but require extensive operations to transform t…
Generative AI Models for Different Steps in Architectural Design: A Literature Review
Chengyuan Li, Tianyu Zhang, Xusheng Du +2
Recent advances in generative artificial intelligence (AI) technologies have been significantly driven by models such as generative adversarial networks (GANs), variational autoenc…