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Creators/Authors contains: "Pan, Zhuoyang"

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  1. ; ; ; ; ; ; ; ; ; ; et al (, Journal of machine learning research)
    gsplat is an open-source library designed for training and developing Gaussian Splat- ting methods. It features a front-end with Python bindings compatible with the Py- Torch library and a back-end with highly optimized CUDA kernels. gsplat o↵ers nu- merous features that enhance the optimization of Gaussian Splatting models, which in- clude optimization improvements for speed, memory, and convergence times. Experimen- tal results demonstrate that gsplat achieves up to 10% less training time and 4⇥ less memory than the original Kerbl et al. (2023) implementation. Utilized in several re- search projects, gsplat is actively maintained on GitHub. Source code is available at https://github.com/nerfstudio-project/gsplat under Apache License 2.0. We wel- come contributions from the open-source community. 
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    Free, publicly-accessible full text available February 1, 2026