mlsanityData to 14 Oct 2026

CoSurfGS:Collaborative 3D Surface Gaussian Splatting with Distributed Learning for Large Scene Reconstruction

arXiv 2412.17612 ↗First posted 23 Dec 2024cs.CVcited by 11

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Abstract (arXiv)

3D Gaussian Splatting (3DGS) has demonstrated impressive performance in scene reconstruction. However, most existing GS-based surface reconstruction methods focus on 3D objects or limited scenes. Directly applying these methods to large-scale scene reconstruction will pose challenges such as high memory costs, excessive time consumption, and lack of geometric detail, which makes it difficult to implement in practical applications. To address these issues, we propose a multi-agent collaborative fast 3DGS surface reconstruction framework based on distributed learning for large-scale surface reconstruction. Specifically, we develop local model compression (LMC) and model aggregation schemes (MAS) to achieve high-quality surface representation of large scenes while reducing GPU memory consumption. Extensive experiments on Urban3d, MegaNeRF, and BlendedMVS demonstrate that our proposed method can achieve fast and scalable high-fidelity surface reconstruction and photorealistic rendering. Our project page is available at urlhttps://gyy456.github.io/CoSurfGS.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 31 of its 45 references that are in the map. First posted on arXiv 23 Dec 2024.

Builds on

31 of 45 references.

References · 31

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,689
  3. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
  4. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,157
  5. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  6. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 724
  7. 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 700
  8. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 667
  9. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 616
  10. 2018From Coarse to Fine: Robust Hierarchical Localization at Large Scalecited by 559
  11. 2019BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networkscited by 490
  12. 2023Neuralangelo: High-Fidelity Neural Surface Reconstructioncited by 467
19 more
  1. 2021Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughscited by 398
  2. 20163DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructionscited by 336
  3. 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 335
  4. 2024PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstructioncited by 285
  5. 2023GS-SLAM: Dense Visual SLAM with 3D Gaussian Splattingcited by 278
  6. 2023GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Modelscited by 255
  7. 2021BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Renderingcited by 229
  8. 2024Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splattingcited by 221
  9. 2024VastGaussian: Vast 3D Gaussians for Large Scene Reconstructioncited by 209
  10. 2020PatchmatchNet: Learned Multi-View Patchmatch Stereocited by 207
  11. 2023GaussianEditor: Editing 3D Gaussians Delicately with Text Instructionscited by 168
  12. 2023Multi-Scale 3D Gaussian Splatting for Anti-Aliased Renderingcited by 138
  13. 2021Capturing, Reconstructing, and Simulating: the UrbanScene3D Datasetcited by 118
  14. 2023Grid-guided Neural Radiance Fields for Large Urban Scenescited by 100
  15. 2024DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splattingcited by 82
  16. 2024CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Fieldcited by 61
  17. 2024DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensuscited by 51
  18. 2023Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Featurescited by 36
  19. 2024Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learningcited by 12

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 7; 2026: 4.

11 papers.

  1. 2025SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modelingcited by 79
  2. 2025DeepVerse: 4D Autoregressive Video Generation as a World Modelcited by 40
  3. 2025CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstructioncited by 26
  4. 2025STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimizationcited by 6
  5. 2025Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splattingcited by 5
  6. 2025Edge Collaborative Gaussian Splatting with Integrated Rendering and Communicationcited by 2
  7. 2025MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenescited by 2
  8. 2026GSM-GS: Geometry-Constrained Single and Multi-view Gaussian Splatting for Surface Reconstructioncited by 0
  9. 2026F3DGS: Federated 3D Gaussian Splatting for Decentralized Multi-Agent World Modelingcited by 0
  10. 2026Recent Advances and Trends in Learning-based 3D Representationscited by 0
  11. 2026Federated 3D Gaussian Splatting for Large-Scale Scene Reconstruction at Wireless Edgecited by 0