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    Nando Metzger Releases Metal-Gauss for Mac Splatting

    CV researcher shares Metal-based optimizer for training Gaussian splats without CUDA.

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    NM
    2 Sources, 28d ago, first seen 28d ago

    TLDR

    Nando Metzger posted on X that Metal-Gauss trains 3D Gaussian splats on Mac in minutes using Metal kernels that compile at runtime rather than CUDA. He claimed after benchmarking several projects that it may be the fastest Mac-native Gaussian optimizer to date. The GitHub repository describes a fused forward-plus-backward rasterizer on PyTorch MPS with no CUDA anywhere. Metzger invited users to try the code and contribute. Media attached to Metzger's X post shows a rapid slideshow of photorealistic 3D Gaussian splat renderings.

    Combined views

    4.7K

    2 Sources, first seen 28d ago

    Combined views

    4.7K

    2 Sources, first seen 28d ago

    93 likes
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    93 likes
    6 comments
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    6 comments
    67 saves
    22 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    2 Sources

    @NandoMetzgerMetal-Gauss: train 3D Gaussian splats on your Mac in minutes. No CUDA, just Metal kernels that compile at runtime. It might be the the fastest Mac native Gaussian optimizer to date (I benchmarked it against several projects). Please try and contribute: https://github.com/nandometzger/metal-gauss
    @CSProfKGDRT @NandoMetzger: Metal-Gauss: train 3D Gaussian splats on your Mac in minutes. No CUDA, just Metal kernels that compile at runtime. It mig…

    2 Sources

    @NandoMetzgerMetal-Gauss: train 3D Gaussian splats on your Mac in minutes. No CUDA, just Metal kernels that compile at runtime. It might be the the fastest Mac native Gaussian optimizer to date (I benchmarked it against several projects). Please try and contribute: https://github.com/nandometzger/metal-gauss
    @CSProfKGDRT @NandoMetzger: Metal-Gauss: train 3D Gaussian splats on your Mac in minutes. No CUDA, just Metal kernels that compile at runtime. It mig…