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A PyTorch Library for Accelerating 3D Deep Learning Research

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A PyTorch Library for Accelerating 3D Deep Learning Research

# Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research > **TL;DR** — Kaolin is NVIDIA's PyTorch library of reusable, GPU-optimized modules distilled from 3D deep learning research. > > - Representation-agnostic **physics** (meshes, splats, point clouds) with Simplicits > - **Differentiable rendering** (DIB-R, nvdiffrast, easy_render PBR) > - First-class **3D Gaussian splats** (PLY/USD I/O, densification, gsplat bridge) > - GPU **octree** acceleration structure: Structured Point Clouds (SPC) > - **Conversions** between 3D representations, **quaternion** ops, and **USD** I/O

Kaolin packages reusable building blocks from NVIDIA 3D research into a cohesive PyTorch API — continuously improving representation-agnostic physics simulation, fast conversions between representations, quaternion math, batched mesh and splat containers, I/O, visualization and more. See [kaolin.readthedocs.io](https://kaolin.readthedocs.io/en/latest/) for tutorials and API reference, and [developer.nvidia.com/kaolin](https://developer.nvidia.com/kaolin) for the NVIDIA Kaolin hub. ## SIGGRAPH 2026 Join us in Los Angeles! Two sessions showcasing new Kaolin capabilities. [Full details here](https://kaolin.readthedocs.io/en/latest/notes/siggraph2026.html).
**Talk — Any Representation, Any Hardware, All Interactions** Accelerating Interactive Prototypes Over Cutting Edge AI & 3D Research Sun **19 Jul 2026**, 3:00–3:20 pm PDT · Room **408 A** Maria Shugrina (NVIDIA / University of Toronto) Introduces Kaolin's new **web client-server framework** (`kaolin/visualize/dash`) for rapid prototyping of interactive browser interfaces over emerging AI and 3D research — patterns distilled from building interactive tools at SIGGRAPH technical papers, Real-Time Live, and Labs. Available on the [`web_framework_prerelease` branch](https://github.com/NVIDIAGameWorks/kaolin/tree/web_framework_prerelease) (not yet merged to `master`). [Schedule →](https://s2026.conference-schedule.org/presentation/?id=gensub_229&sess=sess169) **Hands-on Lab — From 3D Captures to Simulated Digital Environments** Thu **23 Jul 2026**, 10:15–11:45 am PDT · **Concourse Hall** Clement Fuji Tsang, Vismay Modi, Maria Shugrina (NVIDIA) A **capture-to-simulation pipeline** for in-the-wild 3D Gaussian Splat scenes: segment objects, predict volumetric mechanical properties, run mixed splat–mesh physics — powered by recent Kaolin features. Export shareable **USD files with Kaolin's custom physics schema**. **Bring your laptop** and follow along hands-on. Full Conference badge required. [Schedule →](https://s2026.conference-schedule.org/presentation/?id=gensub_123&sess=sess257)
## Features
**Physics (Simplicits)** Simulate meshes, splats, and point clouds with collisions. Warp-accelerated, representation-agnostic. [Docs](https://kaolin.readthedocs.io/en/latest/notes/simplicits.html) · [Mesh](examples/tutorial/physics/simplicits_mesh.ipynb) · [Splat](examples/tutorial/physics/simplicits_gaussians_splatting.ipynb) · [3DGRUT](examples/tutorial/physics/simulatable_3dgrut.ipynb) **3D Gaussian Splats** `GaussianSplatModel`, PLY/USD I/O, densification, gsplat camera converters. [Tutorial](examples/tutorial/working_with_gaussians.ipynb) · [Simulate](examples/tutorial/physics/simplicits_gaussians_splatting.ipynb) · [Interactive viz](examples/tutorial/nerfstudio_gsplat_interactive_visualizer.ipynb) **Differentiable Rendering** DIB-R, nvdiffrast, `easy_render` PBR, spherical harmonics and spherical gaussians lighting. [Docs](https://kaolin.readthedocs.io/en/latest/notes/diff_render.html) · [DIB-R](examples/tutorial/dibr_tutorial.ipynb) · [Easy render](examples/tutorial/easy_mesh_render.ipynb) · [Camera](examples/tutorial/camera_and_rasterization.ipynb) · [Lighting](https://kaolin.readthedocs.io/en/latest/notes/differentiable_lighting.html)
**Structured Point Clouds** GPU octree acceleration structure with ray tracing and feature grids. [Docs](https://kaolin.readthedocs.io/en/latest/notes/spc_summary.html) · [Tutorial](examples/tutorial/understanding_spcs_tutorial.ipynb) · [API](https://kaolin.readthedocs.io/en/latest/modules/kaolin.ops.spc.html) **USD Pipeline** Import/export meshes, point clouds, gaussians, and physics materials with Kaolin's custom schema. [API](https://kaolin.readthedocs.io/en/latest/modules/kaolin.io.usd.html) · [Checkpoints](https://kaolin.readthedocs.io/en/latest/notes/checkpoints.html) · [GLTF viz](examples/tutorial/gltf_viz.ipynb) **Visualization** Jupyter 3D viewer, Timelapse checkpoints, and web client-server framework. [Docs](https://kaolin.readthedocs.io/en/latest/notes/visualizer.html) · [Interactive](examples/tutorial/interactive_visualizer.ipynb) · [Checkpoints](https://kaolin.readthedocs.io/en/latest/notes/checkpoints.html) · [Web framework branch](https://github.com/NVIDIAGameWorks/kaolin/tree/web_framework_prerelease)
**Conversions** Fast GPU conversions between meshes, voxel grids, point clouds, gaussians, and more. [Docs](https://kaolin.readthedocs.io/en/latest/notes/conversions.html) · [DMTet](examples/tutorial/dmtet_tutorial.ipynb) · [FlexiCubes](https://kaolin.readthedocs.io/en/latest/notes/volumetric_meshes.html) **Quaternions** Differentiable quaternion and rigid-transform utilities for 3D deep learning. [Docs](https://kaolin.readthedocs.io/en/latest/notes/quaternions.html) · [Tutorial](examples/tutorial/quaternion_tutorial.ipynb) · [API](https://kaolin.readthedocs.io/en/latest/modules/kaolin.math.html) **Surface Meshes** Batched `SurfaceMesh` container with auto-computed attributes and I/O. [Docs](https://kaolin.readthedocs.io/en/latest/notes/surface_meshes.html) · [Tutorial](examples/tutorial/working_with_meshes.ipynb) · [Easy render](examples/tutorial/easy_mesh_render.ipynb)
*Experimental:* [Newton coupling](kaolin/experimental/newton/README.md) — Simplicits soft bodies with rigid bodies, MPM, and articulated robots ([rigid](examples/tutorial/physics/newton_rigidbody_coupling.ipynb) · [MPM](examples/tutorial/physics/newton_mpm_coupling_oneway.ipynb) · [Franka](examples/tutorial/physics/newton_franka_coupling.ipynb)). See the [tutorial index](https://kaolin.readthedocs.io/en/latest/notes/tutorial_index.html) and [API reference](https://kaolin.readthedocs.io/en/latest/) at [kaolin.readthedocs.io](https://kaolin.readthedocs.io/en/latest/). ## Installation Starting with v0.12.0, Kaolin supports installation with pre-built wheels: ```bash # Replace TORCH_VERSION and CUDA_VERSION with your torch / cuda versions pip install kaolin==0.18.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-{TORCH_VERSION}_cu{CUDA_VERSION}.html ``` For example, kaolin 0.18.0 with PyTorch 2.8.0 and CUDA 12.8: ```bash pip install kaolin==0.18.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.8.0_cu128.html ``` See the [installation guide](https://kaolin.readthedocs.io/en/latest/notes/installation.html) for the full torch/CUDA compatibility matrix and [source install](https://kaolin.readthedocs.io/en/latest/notes/installation.html#install-from-source) instructions. ```bash python -c "import kaolin; print(kaolin.__version__)" ``` ## Quickstart ```python import kaolin print(kaolin.__version__) ``` Load a 3D Gaussian splat from PLY or USD: ```python import kaolin from kaolin.rep import GaussianSplatModel gs = kaolin.io.import_gaussiancloud("scene.ply") print(gs) # GaussianSplatModel with positions, scales, rotations, opacities, ... ``` Simulate a mesh with Simplicits — see the [physics tutorial](examples/tutorial/physics/simplicits_mesh.ipynb). Render a mesh with the easy PBR API: ```python import kaolin as kal mesh = kal.io.obj.import_mesh("model.obj") camera = kal.render.easy_render.default_camera(512) lighting = kal.render.easy_render.default_lighting() result = kal.render.easy_render.render_mesh(camera, mesh, lighting=lighting) ``` ## News ### Unreleased (master or staging) Recent work on `master` since [v0.18.0](https://github.com/NVIDIAGameWorks/kaolin/releases/tag/v0.18.0): - **[FreeForm / RKPM](https://research.nvidia.com/labs/sil/projects/freeform/)** (CVPR 2026) — mesh-free, reduced-order deformable simulation for meshes and Gaussian splats. Builds skinning eigenmodes with a Reproducing Kernel Particle Method (RKPM) basis instead of per-shape neural-field optimization — about **40× faster training** and lower error vs. FEM. Now integrated in Kaolin Simplicits. - **Web client-server framework** (`kaolin/visualize/dash`) — rapid prototyping of interactive Web UIs over AI and 3D research ([`web_framework_prerelease` branch](https://github.com/NVIDIAGameWorks/kaolin/tree/web_framework_prerelease); [SIGGRAPH 2026 talk](https://s2026.conference-schedule.org/presentation/?id=gensub_229&sess=sess169)) - **`GaussianSplatModel`** and **`PointSamples`** tensor-container API - **PLY/USD gaussian I/O** with feature preservation - **USD physics schema** — materials, skinned physics, subset features - **gsplat** batched camera converters - **Newton coupling** — soft bodies with rigid/MPM/Franka ([notebooks](examples/tutorial/physics/newton_rigidbody_coupling.ipynb)) - **Simplicits Easy API** save/load redesign and collision friction fixes - **FlexiCubes** now Apache 2.0 at [`kaolin/ops/conversions/flexicubes/`](kaolin/ops/conversions/flexicubes/flexicubes.py) ### v0.18.0 highlights - [Collisions](https://kaolin.readthedocs.io/en/latest/modules/kaolin.physics.simplicits.html#kaolin.physics.simplicits.SimplicitsScene.enable_collisions) in the physics module - [3D gaussians → voxelgrid](https://kaolin.readthedocs.io/en/latest/modules/kaolin.ops.conversions.html#kaolin.ops.conversions.gs_to_voxelgrid) conversion and volume densifier - [Mesh + gaussian physics with 3DGRUT rendering](examples/tutorial/physics/simulatable_3dgrut.ipynb) - FlexiCubes relicensed to Apache 2.0 See [release notes](https://github.com/NVIDIAGameWorks/kaolin/releases/tag/v0.18.0) for details. ## Tutorials Notebooks live under [`examples/tutorial/`](examples/tutorial/). Highlights by topic: **Physics** - [Simulate a mesh with Simplicits](examples/tutorial/physics/simplicits_mesh.ipynb) - [Simulate a Gaussian splat](examples/tutorial/physics/simplicits_gaussians_splatting.ipynb) - [Mesh + splat physics with 3DGRUT](examples/tutorial/physics/simulatable_3dgrut.ipynb) - [Newton rigid-body coupling](examples/tutorial/physics/newton_rigidbody_coupling.ipynb) **Gaussians** - [Working with GaussianSplatModel](examples/tutorial/working_with_gaussians.ipynb) **Rendering** - [DIB-R differentiable rendering](examples/tutorial/dibr_tutorial.ipynb) - [Easy mesh render](examples/tutorial/easy_mesh_render.ipynb) - [Camera and rasterization](examples/tutorial/camera_and_rasterization.ipynb) **Structured Point Clouds** - [Understanding SPCs](examples/tutorial/understanding_spcs_tutorial.ipynb) **Visualization** - [Interactive visualizer](examples/tutorial/interactive_visualizer.ipynb) - [GLTF visualization](examples/tutorial/gltf_viz.ipynb) Full index: [tutorial index](https://kaolin.readthedocs.io/en/latest/notes/tutorial_index.html). ## Ecosystem Projects built with Kaolin: - [**FreeForm / RKPM**](https://research.nvidia.com/labs/sil/projects/freeform/) — mesh-free reduced-order simulation via

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PublishedAug 1, 2026
UpdatedSep 17, 2026
CategoryDevOps
PricingOpen source

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