mlsanityData to 14 Oct 2026

GS-Verse: Mesh-based Gaussian Splatting for Physics-aware Interaction in Virtual Reality

arXiv 2510.11878 ↗First posted 13 Oct 2025cs.GR cs.CVcited by 2

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Abstract (arXiv)

As the demand for immersive 3D content grows, the need for intuitive and efficient interaction methods becomes paramount. Current techniques for physically manipulating 3D content within Virtual Reality (VR) often face significant limitations, including reliance on engineering-intensive processes and simplified geometric representations, such as tetrahedral cages, which can compromise visual fidelity and physical accuracy. In this paper, we introduce GS-Verse (Gaussian Splatting for Virtual Environment Rendering and Scene Editing), a novel method designed to overcome these challenges by directly integrating an object's mesh with a Gaussian Splatting (GS) representation. Our approach enables more precise surface approximation, leading to highly realistic deformations and interactions. By leveraging existing 3D mesh assets, GS-Verse facilitates seamless content reuse and simplifies the development workflow. Moreover, our system is designed to be physics-engine-agnostic, granting developers robust deployment flexibility. This versatile architecture delivers a highly realistic, adaptable, and intuitive approach to interactive 3D manipulation. We rigorously validate our method against the current state-of-the-art technique that couples VR with GS in a comparative user study involving 18 participants. Specifically, we demonstrate that our approach is statistically significantly better for physics-aware stretching manipulation and is also more consistent in other physics-based manipulations like twisting and shaking. Further evaluation across various interactions and scenes confirms that our method consistently delivers high and reliable performance, showing its potential as a plausible alternative to existing methods.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 29 of its 54 references that are in the map. First posted on arXiv 13 Oct 2025.

Builds on

29 of 54 references.

References · 29

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  3. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  4. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  5. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  6. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 770
  7. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 667
  8. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 616
  9. 2023LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPScited by 436
  10. 2023PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamicscited by 377
  11. 2024Mini-Splatting: Representing Scenes with a Constrained Number of Gaussianscited by 213
  12. 2024VastGaussian: Vast 3D Gaussians for Large Scene Reconstructioncited by 209
17 more
  1. 2024VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Realitycited by 179
  2. 2024StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Renderingcited by 111
  3. 2023VR-NeRF: High-Fidelity Virtualized Walkable Spacescited by 86
  4. 2021FoV-NeRF: Foveated Neural Radiance Fields for Virtual Realitycited by 79
  5. 2024GaMeS: Mesh-Based Adapting and Modification of Gaussian Splattingcited by 70
  6. 2023NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Cloudscited by 41
  7. 2024On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategycited by 39
  8. 2024VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Pointscited by 29
  9. 2024GASP: Gaussian Splatting for Physic-Based Simulationscited by 24
  10. 2024Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospectscited by 17
  11. 2025VRSplat: Fast and Robust Gaussian Splatting for Virtual Realitycited by 17
  12. 2025GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstructioncited by 17
  13. 2020Real-World Textured Things: a Repository of Textured Models Generated with Modern Photo-Reconstruction Toolscited by 10
  14. 2025MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initializationcited by 9
  15. 2025ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxiescited by 5
  16. 2025Affine-Equivariant Kernel Space Encoding for NeRF Editingcited by 4
  17. 2023MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representationcited by 3

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Citing papers per year: 2026: 2.

2 papers.