$\texttt{gsplat}$图书馆的数学补充

arXiv - CS - Numerical Analysis Pub Date : 2023-12-04 DOI:arxiv-2312.02121

Vickie Ye, Angjoo Kanazawa

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引用次数: 0

摘要

本文提供了kerbl等人提出的用于高效可微高斯溅射的模块化工具箱gsplat库的数学细节。它为可微高斯变换的前向和后向计算提供了一个完备的参考。为了便于实际使用和开发，我们在github.com/nerfstudio-project/gsplat上提供了一个用户友好的Python API，它公开了栅格化中正向和反向传递的每个组件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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来源期刊

arXiv - CS - Numerical Analysis

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