title: PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
summary: 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/
paper_authors._id: 655d8f8860009b03e43a9359
paper_authors.name: Tianyi Xie
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-11-23T10:02:16.937Z
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paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/xMw-tD_TMQlDtlNG7nUPm.jpeg
paper_authors.fullname: Tianyi Xie
paper_authors.type: user
paper_authors.user: XPandora
paper_authors._id: 655d8f8860009b03e43a935a
paper_authors.name: Zeshun Zong
paper_authors._id: 655d8f8860009b03e43a935b
paper_authors.name: Yuxin Qiu
paper_authors._id: 655d8f8860009b03e43a935c
paper_authors.name: Xuan Li
paper_authors.status: claimed_verified
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paper_authors.avatarUrl: /avatars/e78d2d73fba811bac01bbfac13a05549.svg
paper_authors.fullname: Xuan Li
paper_authors.type: user
paper_authors.user: xuanli1
paper_authors._id: 655d8f8860009b03e43a935d
paper_authors.name: Yutao Feng
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-11-22T13:37:19.944Z
paper_authors._id: 650e96b373c96e4a4002c3f9
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paper_authors.fullname: Yutao Feng
paper_authors.type: user
paper_authors.user: chewpon
paper_authors._id: 655d8f8860009b03e43a935e
paper_authors.name: Yin Yang
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2023-11-22T16:15:26.152Z
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paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/7zDJoxECjZicI_M5dRcNr.png
paper_authors.fullname: Yin Yang
paper_authors.type: user
paper_authors.user: yangzzzy
paper_authors._id: 655d8f8860009b03e43a935f
paper_authors.name: Chenfanfu Jiang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-11-22T13:37:43.584Z
paper_authors._id: 655683727be68c0961673f45
paper_authors.avatarUrl: /avatars/cddca36c041fa04860a4d42c0feaa07f.svg
paper_authors.fullname: Chenfanfu Jiang
paper_authors.type: user
paper_authors.user: cffjiang
paper_title: PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
paper_summary: 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/
paper_ai_keywords: PhysGaussian Newtonian dynamics 3D Gaussians Material Point Method (MPM) kinematic deformation mechanical stress continuum mechanics principles triangle meshing tetrahedron meshing marching cubes cage meshes "what you see is what you simulate (WS²)" elastic entities metals non-Newtonian fluids granular materials