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
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https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/xMw-tD_TMQlDtlNG7nUPm.jpeg
Tianyi Xie
user
XPandora
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Zeshun Zong
655d8f8860009b03e43a935b
Yuxin Qiu
655d8f8860009b03e43a935c
Xuan Li
claimed_verified
2023-11-22T16:15:23.233Z
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/avatars/3ec1c0934877ad9da9fdb9725288e0f3.svg
Xuan Li
user
xuanli1
655d8f8860009b03e43a935d
Yutao Feng
admin_assigned
2023-11-22T13:37:19.944Z
650e96b373c96e4a4002c3f9
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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
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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 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.
PhysGaussian Material Point Method (MPM) 3D Gaussians Newtonian dynamics continuum mechanics WS^2 elastic entities metals non-Newtonian fluids granular materials