Year: 2025
Type: conference-paper
Abstract: The 3D urban generation technology is of great significance in the game industry, autonomous driving simulation, and traffic simulation. However, existing image-based methods generate results with blurred boundaries, graphic-based methods produce results with poor diversity, and rendering-based methods synthesize inconsistent images. To solve these problems, this paper proposes a novel controllable 3D urban generation pipeline, which consists of urban layouts and 3D scenes generation. Specifically, we introduce the graph dynamic attention model and the dummy node to enhance the diversity of the generated results. We also design a scene asset matching method based on the CLIP model to controllably generate 3D urban scenes. Experimental results indicate that the diversity of the generated results surpasses that of existing methods, and the generated 3D urban scenes are of good consistency.
Authors: Tao Li, Ruihang Li, Huangnan Zheng, Pan Lv, Zhijie Pan
Institution: Zhejiang University
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Award: 分级拓扑路网结构生成与“车能路云”融合目标优化理论研究
OpenAlex ID: W4411505036