Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting
Not on the map. Why?
Abstract (arXiv)
Recently released open-source pre-trained foundational image segmentation and object detection models (SAM2+GroundingDINO) allow for geometrically consistent segmentation of objects of interest in multi-view 2D images. Users can use text-based or click-based prompts to segment objects of interest without requiring labeled training datasets. Gaussian Splatting allows for the learning of the 3D representation of a scene's geometry and radiance based on 2D images. Combining Google Earth Studio, SAM2+GroundingDINO, 2D Gaussian Splatting, and our improvements in mask refinement based on morphological operations and contour simplification, we created a pipeline to extract the 3D mesh of any building based on its name, address, or geographic coordinates.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 33 of its 62 references that are in the map. First posted on arXiv 31 Dec 2024.
Builds on
33 of 62 references.
References · 33
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
- 2023Segment Anythingcited by 8,158
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
- 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
- 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
- 2024SAM 2: Segment Anything in Images and Videoscited by 2,784
- 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
- 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
- 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
- 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
- 2024Grounded SAM: Assembling Open-World Models for Diverse Visual Taskscited by 914
- 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
21 more
- 2018Open3D: A Modern Library for 3D Data Processingcited by 717
- 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 643
- 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 611
- 2022NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstructioncited by 311
- 2021Urban Radiance Fieldscited by 263
- 2021BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Renderingcited by 228
- 2024Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenescited by 226
- 2024A Survey on 3D Gaussian Splattingcited by 221
- 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagationcited by 199
- 2024Taming 3DGS: High-Quality Radiance Fields with Limited Resourcescited by 198
- 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 156
- 2024HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splattingcited by 141
- 2024Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splattingcited by 111
- 2024GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Viewscited by 65
- 2022Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Camerascited by 59
- 2021Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetrycited by 47
- 2024Trim 3D Gaussian Splatting for Accurate Geometry Representationcited by 28
- 2024AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Fieldcited by 17
- 2024HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenescited by 16
- 2024VBR: A Vision Benchmark in Romecited by 15
- 2024Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagerycited by 6
Built on by
Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025Instructor-Worker Large Language Model System for Policy Recommendation: a Case Study on Air Quality Analysis of the January 2025 Los Angeles Wildfirescited by 6
- 2025GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstructioncited by 5
- 2025Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platformcited by 4
- 2026Rapid Forest Fuel Load Estimation via Virtual Remote Sensing and Metric-Scale Feed-Forward 3D Reconstructioncited by 0
- 2026Rapid Forest Fuel Load Estimation via Virtual Remote Sensing and Metric-Scale Feed-Forward 3D Reconstruction11 May 2026
- 2025GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction10 Aug 2025
- 2025Instructor-Worker Large Language Model System for Policy Recommendation: a Case Study on Air Quality Analysis of the January 2025 Los Angeles Wildfires1 Mar 2025
- 2025Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform9 Feb 2025