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20222026
most citedGenerative AI Models for Different Steps in Architectural Design: A Literature Review

10 citations · 10 across the 9 of their papers we have counts for

collaborators

11 papers

cs.GR2026

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…

cs.CV2026

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…

cs.AI2026

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…

cs.GR2025

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…

cs.GR2025

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…

cs.CV2024

Sketch-Guided Stylized Landscape Cinemagraph Synthesis

Hao Jin, Hengyuan Chang, Xiaoxuan Xie +4

Designing stylized cinemagraphs is challenging due to the difficulty in customizing complex and expressive flow elements. To achieve intuitive and detailed control of the generated…

cs.CV2024

Sketch-Guided Scene Image Generation

Tianyu Zhang, Xiaoxuan Xie, Xusheng Du +1

Text-to-image models are showcasing the impressive ability to create high-quality and diverse generative images. Nevertheless, the transition from freehand sketches to complex scen…

cs.LG2024★ 10 cited

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…

cs.HC2023

DualSlide: Global-to-Local Sketching Interface for Slide Content and Layout Design

Jiahao Weng, Xusheng Du, Haoran Xie

Online learning and academic conferences have become pervasive and essential for education and professional development, especially since the onset of pandemics. Academic presentat…

cs.CV2022

SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation

Tianyu Zhang, Xusheng Du, Chia-Ming Chang +2

Scene understanding is an essential and challenging task in computer vision. To provide the visually fundamental graphical structure of an image, the scene graph has received incre…

cs.GR2022

Sketch-based 3D Shape Modeling from Sparse Point Clouds

Xusheng Du, Yi He, Xi Yang +2

3D modeling based on point clouds is an efficient way to reconstruct and create detailed 3D content. However, the geometric procedure may lose accuracy due to high redundancy and t…