Mathematical Supplement for the $\texttt{gsplat}$ Library

Vickie Ye; Angjoo Kanazawa

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arXiv · 2312.02121

Mathematical Supplement for the $\texttt{gsplat}$ Library

Vickie Ye·Angjoo Kanazawa

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Abstract

This report provides the mathematical details of the gsplat library, a modular toolbox for efficient differentiable Gaussian splatting, as proposed by Kerbl et al. It provides a self-contained reference for the computations involved in the forward and backward passes of differentiable Gaussian splatting. To facilitate practical usage and development, we provide a user friendly Python API that exposes each component of the forward and backward passes in rasterization at github.com/nerfstudio-project/gsplat .

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Vickie Ye, Angjoo Kanazawa. 2023-12-04. Mathematical Supplement for the $\texttt{gsplat}$ Library. https://arxiv.org/abs/2312.02121

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