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20242026
most citedGenerative AI Models for Different Steps in Architectural Design: A Literature Review

10 citations · 10 across the 8 of their papers we have counts for

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cs.CV2026

Workflow-Aware Structured Layer Decomposition for Illustration Production

Tianyu Zhang, Dongchi Li, Keiichi Sawada +1

Recent generative image editing methods adopt layered representations to mitigate the entangled nature of raster images and improve controllability, typically relying on object-bas…

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.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.CV2024

TexControl: Sketch-Based Two-Stage Fashion Image Generation Using Diffusion Model

Yongming Zhang, Tianyu Zhang, Haoran Xie

Deep learning-based sketch-to-clothing image generation provides the initial designs and inspiration in the fashion design processes. However, clothing generation from freehand dra…