GeoTexBuild: 3D Building Model Generation from Map Footprints
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 61 of its 108 references that are in the map. First posted on arXiv 11 Apr 2025.
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References · 61
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38 more
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50 most cited of 61 All 61 (JSON)
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- 2025Multi-View Depth Consistent Image Generation Using Generative AI Models: Application on Architectural Design of University Buildings
- 2023TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models
- 2025Sat2RealCity: Geometry-Aware and Appearance-Controllable 3D Urban Generation from Satellite Imagery
- 2025Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models
- 2025Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generation
- 2026CoMa: Contextual Massing Generation with Vision-Language Models
- 2024From Geometric Mimicry to Comprehensive Generation: A Context-Informed Multimodal Diffusion Model for Urban Morphology Synthesis
- 2026BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds