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 custom 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, metals, non-Newtonian fluids, and granular materials--showcasing its strong capabilities in creating diverse visual content with novel viewpoints and movements. Our project page is at: https://xpandora.github.io/PhysGaussian/

翻译：我们提出PhysGaussian方法，该方法通过将基于物理的牛顿动力学无缝集成到三维高斯中，实现了高质量的新颖运动合成。采用定制化物质点法（MPM），我们的方法为三维高斯核赋予具有物理意义的运动学形变与力学应力属性，这些属性均依据连续介质力学原理进行演化。本方法的标志性特征在于物理模拟与视觉渲染的深度融合：两个组件采用相同的三维高斯核作为离散表示形式。这消除了对三角形/四面体网格化、移动立方体算法、“笼式网格”或任何其他几何嵌入的需求，体现了“所见即所拟（WS²）”这一核心理念。我们的方法在弹性体、金属、非牛顿流体及颗粒材料等广泛材料类型中展现出卓越的普适性，充分证明了其在创建具有新颖视角与运动模式的多样化视觉内容方面的强大能力。项目页面：https://xpandora.github.io/PhysGaussian/