gsplat

Overview

gsplat is an open-source library for CUDA accelerated rasterization of gaussians with python bindings. It is inspired by the SIGGRAPH paper “3D Gaussian Splatting for Real-Time Rendering of Radiance Fields” [1]. This libary contains the neccessary components for efficient 3D to 2D projection, sorting, and alpha compositing of gaussians and their associated backward passes for inverse rendering.

Contributing

This repository was born from the curiosity of people on the Nerfstudio team trying to understand a new rendering technique. We welcome contributions of any kind and are open to feedback, bug-reports, and improvements to help expand the capabilities of this software.

Links

Examples

• Simple Trainer

Conventions

• CUDA Conventions
• Data Conventions

Python API

• ProjectGaussians
• RasterizeGaussians
• Utils

Tests

• Evaluation
• Tests

Citations

[1]

Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 3d gaussian splatting for real-time radiance field rendering. ACM Transactions on Graphics, July 2023. URL: https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/.