VersaGauss: A Versatile Framework for Generating Multiphase Dynamics with 3D Gaussians

2026-08-28

AI Summary

本文提出VersaGauss框架，通过3D高斯模型生成多相动力学场景，采用粒子修剪算法和耦合多相点方法解决多相交互模拟问题。

Abstract

Recent progress has been made in 3D Gaussian representation for reconstruction, generation, and physical simulation. However, current approaches mainly concentrate on physics-based dynamic generation of solid objects and only handle single-phase collision interactions. We introduce VersaGauss, a unified framework for generation, simulation, and rendering that supports versatile physics-based dynamic generation, particularly for multiphase interactions. Our system takes a few images as input and produces a realistic, physics-driven 3D dynamic scene with multiple objects. To optimize the Gaussian kernel distribution, we develop a particle pruning algorithm. We also propose the Coupled Multiphase Point Method (CMPM) to effectively model and generate multiphase interactions. Additionally, harmonic interpolation within CMPM and a Gaussian evolution strategy are introduced to achieve realistic fluid rendering. Extensive experiments demonstrate that our framework can simulate interactions among various materials such as fluid, rubber, sand, snow, and others. Code is available at https://github.com/Elowen-surj/VersaGauss.

Problem

• Multiphase Interactions
• 3D Dynamics
• Gaussian Representation
• Physics-based Simulation
• Dynamic Generation

Innovation

• Versatile Physics-based Dynamic Generation
• Multiphase Interactions
• Particle Pruning Algorithm
• Coupled Multiphase Point Method (CMPM)
• Harmonic Interpolation