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PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Tianyi Xie · Zeshun Zong · Yuxing Qiu · Xuan Li · Yutao Feng · Yin Yang · Chenfanfu Jiang

Arch 4A-E Poster #410
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Wed 19 Jun 10:30 a.m. PDT — noon PDT


We introduce PhysGaussian, a new method that seamlessly integrates physically grounded Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis. Employing a customized Material Point Method (MPM), our approach enriches 3D Gaussian kernels with physically meaningful kinematic deformation and mechanical stress attributes, all evolved in line with continuum mechanics principles. A defining characteristic of our method is the seamless integration between physical simulation and visual rendering: both components utilize the same 3D Gaussian kernels as their discrete representations. This negates the necessity for triangle/tetrahedron meshing, marching cubes, cage meshes, or any other geometry embedding, highlighting the principle of "what you see is what you simulate (WS^2)". Our method demonstrates exceptional versatility across a wide variety of materials--including elastic entities, plastic metals, non-Newtonian fluids, and granular materials--showcasing its strong capabilities in creating diverse visual content with novel viewpoints and movements.

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