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

• URL: http://arxiv.org/abs/2312.02121v1
• Date: Mon, 4 Dec 2023 18:50:41 GMT
• Title: Mathematical Supplement for the $\texttt{gsplat}$ Library
• Authors: Vickie Ye and Angjoo Kanazawa
• Abstract summary: This report provides the mathematical details of the gsplat library, a modular toolbox for efficient differentiable Gaussian splatting. It provides a self-contained reference for the computations involved in the forward and backward passes of differentiable Gaussian splatting.
• Score: 31.200552171251708
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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