This example shows how-to train and generates 2D images using a minimal implementation of 3D Gaussian splatting using Deep Learning Toolbox.
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This example shows how-to train and generates 2D images using a minimal implementation of 3D Gaussian splatting using Deep Learning Toolbox. It includes Frustum culling, pruning and densification (clone and split) and 2nd order spherical color model. Select above "Example" tab for the published example "Train Gaussian Splatting (3DGS)".
Cite As
Ivo Houtzager (2026). Gaussian Splatting (https://github.com/iwoodsawyer/GaussianSplatting/releases/tag/v2.0.0.0), GitHub. Retrieved .
General Information
- Version 2.0.0.0 (1.21 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0.0 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/GaussianSplatting/releases/tag/v2.0.0.0 |
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| 1.0.0.1 | See release notes for this release on GitHub: https://github.com/iwoodsawyer/GaussianSplatting/releases/tag/v1.0.0.1 |
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| 1.0.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
