Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction
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Abstract (arXiv)
We present a framework that enables fast reconstruction and real-time rendering of urban-scale scenes while maintaining robustness against appearance variations across multi-view captures. Our approach begins with scene partitioning for parallel training, employing a visibility-based image selection strategy to optimize training efficiency. A controllable level-of-detail (LOD) strategy explicitly regulates Gaussian density under a user-defined budget, enabling efficient training and rendering while maintaining high visual fidelity. The appearance transformation module mitigates the negative effects of appearance inconsistencies across images while enabling flexible adjustments. Additionally, we utilize enhancement modules, such as depth regularization, scale regularization, and antialiasing, to improve reconstruction fidelity. Experimental results demonstrate that our method effectively reconstructs urban-scale scenes and outperforms previous approaches in both efficiency and quality. The source code is available at: https://yzslab.github.io/REUrbanGS.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 46 of its 57 references that are in the map. First posted on arXiv 30 Jul 2025.
Builds on
46 of 57 references.
References · 46
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34 more
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Built on by
Citing papers per year: 2025: 2; 2026: 6.
8 papers.
- 2026TTSA3R: Training-Free Temporal-Spatial Adaptive Persistent State for Streaming 3D Reconstructioncited by 11
- 2026You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenescited by 4
- 2026Attention Itself Could Retrieve.RetrieveVGGT: Training-Free Long Context Streaming 3D Reconstruction via Query-Key Similarity Retrievalcited by 3
- 2025LoBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstructioncited by 2
- 2025MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenescited by 2
- 2026Sky2Ground: A Benchmark for Site Modeling under Varying Altitudecited by 1
- 2026City-Level 3D Surface Reconstruction with Viewpoint Orientation Partitioning and Scene Completioncited by 1
- 2026PUGS: Physics-Guided Uncertainty Modeling for Underwater Dynamic 3D Gaussian Splattingcited by 0
- 2026PUGS: Physics-Guided Uncertainty Modeling for Underwater Dynamic 3D Gaussian Splatting13 Oct 2026
- 2026City-Level 3D Surface Reconstruction with Viewpoint Orientation Partitioning and Scene Completion4 Jul 2026
- 2026Attention Itself Could Retrieve.RetrieveVGGT: Training-Free Long Context Streaming 3D Reconstruction via Query-Key Similarity Retrieval10 May 2026
- 2026You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes23 Apr 2026
- 2026Sky2Ground: A Benchmark for Site Modeling under Varying Altitude14 Mar 2026
- 2026TTSA3R: Training-Free Temporal-Spatial Adaptive Persistent State for Streaming 3D Reconstruction30 Jan 2026
- 2025MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes24 Nov 2025
- 2025LoBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstruction2 Oct 2025