GaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials
🤖 AI Summary
Existing 3D Gaussian splatting methods struggle to simulate brittle fracture due to the absence of a structurally coherent volumetric interior representation and fracture-aware physical simulation mechanisms. This work proposes a unified framework that, for the first time, enables coherent internal modeling with realistic textures and dynamic fracture simulation within a Gaussian representation. The approach leverages a generative model to synthesize plausible multi-material internal structures and integrates an optimized Continuum Damage Material Point Method (CD-MPM) to drive fracture propagation, all embedded within a 3D Gaussian splatting rendering pipeline. The method supports multi-stage fracture in complex, heterogeneous material scenes, achieving photorealistic visual quality and real-time performance. It significantly outperforms existing techniques and is well-suited for interactive applications such as virtual reality and robotics.
Application Category
📝 Abstract
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.
Problem
Research questions and friction points this paper is trying to address.
brittle fracture
3D Gaussian Splatting
volumetric interiors
fracture simulation
mixed materials
Innovation
Methods, ideas, or system contributions that make the work stand out.
3D Gaussian Splatting
brittle fracture simulation
Continuum Damage Material Point Method
generative interior synthesis
mixed-material dynamics
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