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
paper_authors._id: 655e400e5afa950b64ba25aa
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
paper_authors.statusLastChangedAt: 2023-11-22T16:15:23.233Z
paper_authors._id: 6539f589f940c8a035b1a36b
paper_authors.avatarUrl: /avatars/3ec1c0934877ad9da9fdb9725288e0f3.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
paper_authors.avatarUrl: /avatars/6ea67dc54d045f41e1e0fc547a6aa8c0.svg
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
paper_authors._id: 655e23bec166f4c0a7c87208
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_summary: PhysGaussian integrates Newtonian dynamics within 3D Gaussians for high-quality motion synthesis using a Material Point Method (MPM) that aligns with continuum mechanics principles, eliminating the need for traditional meshing techniques.
paper_ai_keywords: PhysGaussian Material Point Method (MPM) 3D Gaussians Newtonian dynamics continuum mechanics WS^2 elastic entities metals non-Newtonian fluids granular materials