laanlabs/metal-splats

laanlabs/metal-splats has 364 GitHub stars and 30 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-10 21:14 UTC. Last push 2023-10-22.

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Toy iOS + Metal AR Gaussian Splat Renderer

364 stars 30 forks

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README.md

Original

AR Gaussian Splatting for iOS & Metal

About

A buggy + slow AR gaussian splat renderer for iOS + Metal. Based on several existing projects:

Uses Satin + Forge for AR + 3d viewer ( by @rezaali )

Only tested on an iPhone 14 Pro. Older phones will probably struggle. You can adjust the render resolution when loading a model by increasing the rendererDownsample to 4x or more on the 'SplatModelInfo' struct.

:warning: This was a quick weekend hack project for educational purposes. As such the code is bad.

🔹 NOTE: PLY models use git LFS for file storage. You may need to run git lfs pull if PLYs are missing

Notes

Does not use a tile based renderer, just basic quad rasterization
Spherical harmonics are not supported
Sorting is done on main thread with std::sort on CPU

Todos

fix pan / drag / rotate gesture handling for moving the model - now it's broken
snap models to AR planes
GPU sorting
detect centroids and model extents on load rather than hand specifying

Demo Video

Watch on YouTube

video credit: Nike shoe model from Alex Carliera

License(s)

Parts of the code are based on the original Gaussian-Splatting software and is governed by the Gaussian-Splatting License, which can be found in the LICENSE file in this repository. The original software was developed by Inria and MPII.

Please be advised that the software in this repository cannot be used for commercial purposes without explicit consent from the original licensors, Inria and MPII.

Satin + Forge are released under the MIT license. See LICENSE for details.

Train your own model

There are several blog posts on how to train your own models from a set of images. The output PLY model is what you want to keep ( e.g. 'iteration_30000/point_cloud.ply' ) The included models were trained on google colab with an A100 GPU.

Models Attribution

Includes two models from the NeRF synthetic blender dataset

The renders are from modified blender models located on blendswap.com:

lego by Heinzelnisse (CC-BY-NC): https://www.blendswap.com/blend/11490
mic by up3d.de (CC-0): https://www.blendswap.com/blend/23295