CVApr 11, 2025

GeoTexBuild: 3D Building Model Generation from Map Footprints

arXiv:2504.08419v2h-index: 1Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Urban-AI
Originality Incremental advance
AI Analysis

This provides a solution for architects and city planners to convert map features into 3D buildings, addressing structural variations in existing methods.

The paper tackled the problem of generating 3D building models from map footprints, resulting in a framework that produces detailed and accurate models by integrating ControlNet, Neural style field, and Multi-view diffusion model.

We introduce GeoTexBuild, a modular generative framework for creating 3D building models from footprints derived from site planning or map designs. The system is designed for architects and city planners, offering a seamless solution that directly converts map features into 3D buildings. The proposed framework employs a three-stage process comprising height map generation, geometry reconstruction, and appearance stylization, culminating in building models with detailed geometry and appearance attributes. By integrating customized ControlNet, Neural style field (NSF), and Multi-view diffusion model, we explore effective methods for controlling both geometric and visual attributes during the generation process. Our approach eliminates the problem of structural variations in a single facade image in existing 3D generation techniques for buildings. Experimental results at each stage validate the capability of GeoTexBuild to generate detailed and accurate building models from footprints.

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