GaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials
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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
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30 more
- 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,144
- 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
- 2023MVDream: Multi-view Diffusion for 3D Generationcited by 928
- 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 753
- 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 731
- 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
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- 2023ModelScope Text-to-Video Technical Reportcited by 651
- 2020Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Videocited by 470
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- 2023PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamicscited by 368
- 2023SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenescited by 339
- 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
- 2024A Survey on 3D Gaussian Splattingcited by 221
- 2024PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generationcited by 185
- 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 138
- 2024SAMPart3D: Segment Any Part in 3D Objectscited by 95
- 2025PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyondcited by 91
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- 2025OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generationcited by 64
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- 2024Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videoscited by 48
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- 2024Score Distillation via Reparametrized DDIMcited by 41
- 2025BANG: Dividing 3D Assets via Generative Exploded Dynamicscited by 35
- 2024MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editingcited by 30
- 2024Score Distillation Sampling with Learned Manifold Correctivecited by 27
- 2025Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixelscited by 22
- 2024AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Fieldcited by 17
- 2024FruitNinja: 3D Object Interior Texture Generation with Gaussian Splattingcited by 5
Built on by
Citing papers per year: 2026: 5.
5 papers.
- 2026i-PhysGaussian: Implicit Physical Simulation for 3D Gaussian Splattingcited by 3
- 2026PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamicscited by 1
- 2026KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representationscited by 0
- 2026FractureFields: Contact-Aware Binary Multi-Field Transfer for Fractured 3D Gaussian Simulationcited by 0
- 2026PhysMAS: Physics-Grounded Multi-Agent Synthesis of Compositional 4D Gaussianscited by 0
- 2026PhysMAS: Physics-Grounded Multi-Agent Synthesis of Compositional 4D Gaussians7 Sep 2026
- 2026FractureFields: Contact-Aware Binary Multi-Field Transfer for Fractured 3D Gaussian Simulation29 Aug 2026
- 2026KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations27 Aug 2026
- 2026PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics22 Jul 2026
- 2026i-PhysGaussian: Implicit Physical Simulation for 3D Gaussian Splatting19 Feb 2026