mlsanityData to 7 Oct 2026

GaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials

arXiv 2601.09265 ↗First posted 14 Jan 2026cs.CVcited by 5

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Abstract (arXiv)

3D Gaussian Splatting (3DGS) has emerged as a prominent 3D representation for high-fidelity and real-time rendering. Prior work has coupled physics simulation with Gaussians, but predominantly targets soft, deformable materials, leaving brittle fracture largely unresolved. This stems from two key obstacles: the lack of volumetric interiors with coherent textures in GS representation, and the absence of fracture-aware simulation methods for Gaussians. To address these challenges, we introduce GaussianFluent, a unified framework for realistic simulation and rendering of dynamic object states. First, it synthesizes photorealistic interiors by densifying internal Gaussians guided by generative models. Second, it integrates an optimized Continuum Damage Material Point Method (CD-MPM) to enable brittle fracture simulation at remarkably high speed. Our approach handles complex scenarios including mixed-material objects and multi-stage fracture propagation, achieving results infeasible with previous methods. Experiments clearly demonstrate GaussianFluent's capability for photo-realistic, real-time rendering with structurally consistent interiors, highlighting its potential for downstream application, such as VR and Robotics.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 42 of its 49 references that are in the map. First posted on arXiv 14 Jan 2026.

Builds on

42 of 49 references.

References · 42

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  3. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  4. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  5. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  6. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,526
  7. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  8. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  9. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
  10. 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Modelscited by 1,439
  11. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  12. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
30 more
  1. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,144
  2. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
  3. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 928
  4. 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 753
  5. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 731
  6. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
  7. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 661
  8. 2023ModelScope Text-to-Video Technical Reportcited by 651
  9. 2020Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Videocited by 470
  10. 2023DynamiCrafter: Animating Open-domain Images with Video Diffusion Priorscited by 463
  11. 2023PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamicscited by 368
  12. 2023SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenescited by 339
  13. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
  14. 2024A Survey on 3D Gaussian Splattingcited by 221
  15. 2024PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generationcited by 185
  16. 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 138
  17. 2024SAMPart3D: Segment Any Part in 3D Objectscited by 95
  18. 2025PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyondcited by 91
  19. 2024Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusioncited by 76
  20. 2025OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generationcited by 64
  21. 2025OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesioncited by 60
  22. 2024Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videoscited by 48
  23. 2024Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstructioncited by 43
  24. 2024Score Distillation via Reparametrized DDIMcited by 41
  25. 2025BANG: Dividing 3D Assets via Generative Exploded Dynamicscited by 35
  26. 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editingcited by 30
  27. 2024Score Distillation Sampling with Learned Manifold Correctivecited by 27
  28. 2025Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixelscited by 22
  29. 2024AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Fieldcited by 17
  30. 2024FruitNinja: 3D Object Interior Texture Generation with Gaussian Splattingcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 5.

5 papers.