NVIDIAGameWorks/kaolin

Health v2 · maintenance only

Adoption not part of the score

5175 stars · 628 forks observed · 2026-09-23

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Kaolin is NVIDIA's PyTorch library of GPU-optimized modules for 3D deep learning research, covering meshes, point clouds, and 3D Gaussian splats. It provides differentiable rendering, representation conversions, physics simulation, octree acceleration, and I/O/visualization tools.

Use cases

• train neural networks on 3d meshes in pytorch
• differentiable rendering for 3d reconstruction
• work with 3d gaussian splatting models
• convert between 3d representations like meshes point clouds and splats
• simulate physics on 3d scenes with deep learning
• load and export 3d assets in usd or ply format
• accelerate 3d deep learning research on gpu

When to choose

• you need GPU-accelerated 3D deep learning building blocks within PyTorch
• you want differentiable rendering or Gaussian splatting support
• you need conversions and I/O across multiple 3D representations

When to avoid

• you need a general-purpose 3D modeling or game engine rather than a research library
• your project does not use PyTorch or CUDA-capable GPUs
• you only need simple non-differentiable 3D rendering

Facets

library · maturity active

machine-learning deep-learning graphics simulation image-processing data-visualization deep-learning computer-vision graphics artificial-intelligence simulation python windows cross-platform pytorch 3d-deep-learning differentiable-rendering gaussian-splatting mesh-processing point-clouds cuda nvidia usd physics-simulation gpu linux

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