mlsanityData to 14 Oct 2026

HaloGS: Loose Coupling of Compact Geometry and Gaussian Splats for 3D Scenes

arXiv 2505.20267 ↗First posted 26 May 2025cs.CVcited by 6

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Abstract (arXiv)

High fidelity 3D reconstruction and rendering hinge on capturing precise geometry while preserving photo realistic detail. Most existing methods either fuse these goals into a single cumbersome model or adopt hybrid schemes whose uniform primitives lead to a trade off between efficiency and fidelity. In this paper, we introduce HaloGS, a dual representation that loosely couples coarse triangles for geometry with Gaussian primitives for appearance, motivated by the lightweight classic geometry representations and their proven efficiency in real world applications. Our design yields a compact yet expressive model capable of photo realistic rendering across both indoor and outdoor environments, seamlessly adapting to varying levels of scene complexity. Experiments on multiple benchmark datasets demonstrate that our method yields both compact, accurate geometry and high fidelity renderings, especially in challenging scenarios where robust geometric structure make a clear difference.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 33 of its 45 references that are in the map. First posted on arXiv 26 May 2025.

Builds on

33 of 45 references.

References · 33

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  3. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  4. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  5. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
  6. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  7. 2024Depth Anything V2cited by 1,422
  8. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  9. 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 764
  10. 2023Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingcited by 695
  11. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 671
  12. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 616
21 more
  1. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  2. 2023Neuralangelo: High-Fidelity Neural Surface Reconstructioncited by 467
  3. 2022NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstructioncited by 314
  4. 2024Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenescited by 232
  5. 2024Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussianscited by 230
  6. 2024A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasetscited by 216
  7. 2019BSP-Net: Generating Compact Meshes via Binary Space Partitioningcited by 206
  8. 2024CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussianscited by 192
  9. 2023MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyondcited by 185
  10. 2024StableNormal: Reducing Diffusion Variance for Stable and Sharp Normalcited by 154
  11. 2023Grid-guided Neural Radiance Fields for Large Urban Scenescited by 100
  12. 2020ParSeNet: A Parametric Surface Fitting Network for 3D Point Cloudscited by 96
  13. 2018Supervised Fitting of Geometric Primitives to 3D Point Cloudscited by 91
  14. 2023VR-NeRF: High-Fidelity Virtualized Walkable Spacescited by 86
  15. 20243DGSR: Implicit Surface Reconstruction with 3D Gaussian Splattingcited by 79
  16. 2022PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Latticescited by 73
  17. 20243D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexescited by 50
  18. 2024FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometrycited by 44
  19. 2024Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenescited by 30
  20. 2024Geometry Field Splatting with Gaussian Surfelscited by 13
  21. 2024Concise Plane Arrangements for Low-Poly Surface and Volume Modellingcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 3.

6 papers.