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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