XPandora/PhysGaussian

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1414 stars · 72 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PhysGaussian is a research library that integrates Material Point Method (MPM) physics simulation with 3D Gaussian Splatting representations to generate physically plausible novel motion and dynamics. It evolves the same 3D Gaussian kernels used for rendering through continuum mechanics, avoiding meshing or geometry embeddings.

Use cases

• simulate elastic objects from gaussian splatting reconstructions
• generate novel motion of 3d scenes with physics
• render deformable materials like fluids and metals from photos
• animate a 3d gaussian splatting model with continuum mechanics
• create dynamic 3d content without meshing
• research physics-integrated neural rendering

When to choose

• you need physically grounded animation of 3D Gaussian Splatting scenes
• you want to simulate diverse materials (elastic, plastic, fluids, granular) directly on Gaussian kernels
• you are doing research in physics-integrated neural rendering

When to avoid

• you need a production-ready tool with a stable API or license
• you want real-time physics simulation on consumer hardware
• you need simple static 3D reconstruction without dynamics

Facets

library · maturity active

simulation graphics machine-learning computer-vision computer-vision graphics simulation machine-learning python gaussian-splatting material-point-method physics-simulation 3d-reconstruction generative-dynamics research-code cvpr-2024 linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="XPandora/PhysGaussian")