Gaussian Splat Decimation

Gaussian Splat Decimation is a lightweight tool for decimating Gaussian Splat Models. It merges Gaussian points within a specified radius, allowing you to reduce model complexity while preserving overall structure.

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Features

• Decimate Gaussian Splat Models using a configurable radius.
• Simple command-line interface (CLI) for fast processing.
• Output saved directly as a .ply file.

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Installation

Install the required dependencies using pip:

pip install -r requirements.txt

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Usage

Run the decimation tool from the command line:

python decimate.py --path_to_model <input_model.ply> --decimate_radius <radius> --save_path <output_model.ply>

Arguments

Argument	Type	Description
--path_to_model	string	Path to the Gaussian model file (required).
--decimate_radius	float	Radius in which Gaussian points are merged. Default: 0.01.
--save_path	string	Full path (including .ply) to save the decimated model (required).

Example

python decimate.py --path_to_model models/sample_gaussian.ply --decimate_radius 0.02 --save_path models/sample_decimated.ply

This will merge Gaussian points within a radius of 0.02 and save the decimated model.

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Contributing

Contributions, issues, and feature requests are welcome! Feel free to fork the repository and submit pull requests.

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License

This project is primarily licensed under the MIT License.

Note: Portions of this project incorporate code from gaussian-splatting. All ownership rights to that software are held by Inria and the Max Planck Institute for Informatics (MPII). Usage of those portions must comply with the original licensing terms of that project.