PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
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/
655d8f8860009b03e43a9359
Tianyi Xie
admin_assigned
2023-11-23T10:02:16.937Z
655e400e5afa950b64ba25aa
https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/xMw-tD_TMQlDtlNG7nUPm.jpeg
Tianyi Xie
user
XPandora
655d8f8860009b03e43a935a
Zeshun Zong
655d8f8860009b03e43a935b
Yuxin Qiu
655d8f8860009b03e43a935c
Xuan Li
claimed_verified
2023-11-22T16:15:23.233Z
6539f589f940c8a035b1a36b
/avatars/e78d2d73fba811bac01bbfac13a05549.svg
Xuan Li
user
xuanli1
655d8f8860009b03e43a935d
Yutao Feng
admin_assigned
2023-11-22T13:37:19.944Z
650e96b373c96e4a4002c3f9
/avatars/6ea67dc54d045f41e1e0fc547a6aa8c0.svg
Yutao Feng
user
chewpon
655d8f8860009b03e43a935e
Yin Yang
claimed_verified
2023-11-22T16:15:26.152Z
655e23bec166f4c0a7c87208
https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/7zDJoxECjZicI_M5dRcNr.png
Yin Yang
user
yangzzzy
655d8f8860009b03e43a935f
Chenfanfu Jiang
admin_assigned
2023-11-22T13:37:43.584Z
655683727be68c0961673f45
/avatars/cddca36c041fa04860a4d42c0feaa07f.svg
Chenfanfu Jiang
user
cffjiang
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
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/
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