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https://mrnerf.github.io/awesome-3D-gaussian-splatting/

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
https://mrnerf.github.io/awesome-3D-gaussian-splatting/

3d-gaussian-splatting 3dgs gaussian-splatting nerf neural-rendering

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Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

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# Awesome 3D Gaussian Splatting





  A curated collection of resources focused on 3D Gaussian Splatting (3DGS) and related technologies.

  

  [**Browse the Paper List**](https://mrnerf.github.io/awesome-3D-gaussian-splatting/) | [**Contribute**](CONTRIBUTING.md)




## Contents



- [Papers & Documentation](#papers--documentation)

- [Implementations](#implementations)

- [Viewers & Game Engine Support](#viewers--game-engine-support)

- [Tools & Utilities](#tools--utilities)

- [Learning Resources](#learning-resources)

- [Sponsors](#sponsors)



## Papers & Documentation



### Papers Database

Visit our comprehensive, searchable database of 3D Gaussian Splatting papers:  

[Papers Database](https://mrnerf.github.io/awesome-3D-gaussian-splatting/)



### Courses

- [MIT Inverse Rendering Lectures (Module 2)](https://www.scenerepresentations.org/courses/inverse-graphics-23/) - Academic deep dive into inverse rendering



### Datasets

- [NERDS 360 Multi-View dataset](https://zubair-irshad.github.io/projects/neo360.html) - High-quality outdoor scene dataset



## Implementations



### Official Reference

- [Original Gaussian Splatting](https://github.com/graphdeco-inria/gaussian-splatting) - The reference implementation by the original authors



### Community Implementations

| Implementation | Language | License | Description |

|----------------|----------|----------|-------------|

| [Taichi 3D GS](https://github.com/wanmeihuali/taichi_3d_gaussian_splatting) | Taichi | Apache-2.0 | Taichi-based implementation |

| [Nerfstudio gsplat](https://github.com/nerfstudio-project/gsplat) | Python/CUDA | Apache-2.0 | Integration with Nerfstudio |

| [fast](https://github.com/MrNeRF/gaussian-splatting-cuda) | C++/CUDA | Inria/MPII | High-performance implementation |

| [OpenSplat](https://github.com/pierotofy/OpenSplat) | C++/CPU/GPU | AGPL-3.0 | Cross-platform solution |

| [Grendel](https://github.com/nyu-systems/Grendel-GS) | Python/CUDA | Apache-2.0 | Distributed computing focus |



### Frameworks

- [Pointrix](https://github.com/pointrix-project/pointrix) - Differentiable point-based rendering

- [GauStudio](https://github.com/GAP-LAB-CUHK-SZ/gaustudio) - Unified framework with multiple implementations

- [DriveStudio](https://github.com/ziyc/drivestudio) - Urban scene reconstruction framework



## Viewers & Game Engine Support



### Game Engines

- [Unity Plugin](https://github.com/aras-p/UnityGaussianSplatting)

- [Unreal Plugin](https://github.com/xverse-engine/XV3DGS-UEPlugin)

- [PlayCanvas Integration](https://github.com/playcanvas/engine/tree/main/src/scene/gsplat)



### Web Viewers

**WebGL**

- [Splat Viewer](https://github.com/antimatter15/splat)

- [Gauzilla](https://github.com/BladeTransformerLLC/gauzilla)

- [Interactive Viewer](https://github.com/kishimisu/Gaussian-Splatting-WebGL)



**WebGPU**

- [EPFL Viewer](https://github.com/cvlab-epfl/gaussian-splatting-web)

- [WebGPU Splat](https://github.com/KeKsBoTer/web-splat)



### Native Applications

- [Blender Add-on](https://github.com/ReshotAI/gaussian-splatting-blender-addon)

- [iOS Metal Viewer](https://github.com/laanlabs/metal-splats)

- [OpenGL Viewer](https://github.com/limacv/GaussianSplattingViewer)

- [VR Support (OpenXR)](https://github.com/hyperlogic/splatapult)



## Tools & Utilities



### Data Processing

- [Kapture](https://github.com/naver/kapture) - Unified data format for visual localization

- [3DGS Converter](https://github.com/francescofugazzi/3dgsconverter) - Format conversion tool

- [SuperSplat](https://github.com/playcanvas/super-splat) - Browser-based cleanup tool

- [Point Cloud Editor](https://github.com/JohannesKrueger/pointcloudeditor) - Web-based point cloud editing



### Development Tools

- [GSOPs for Houdini](https://github.com/david-rhodes/GSOPs) - Houdini integration tools

- [camorph](https://github.com/Fraunhofer-IIS/camorph) - Camera parameter conversion



## Learning Resources



### Blog Posts

- [3DGS Introduction](https://huggingface.co/blog/gaussian-splatting) - HuggingFace guide

- [Implementation Details](https://github.com/kwea123/gaussian_splatting_notes) - Technical deep dive

- [Mathematical Foundation](https://github.com/chiehwangs/3d-gaussian-theory) - Theory explanation

- [Capture Guide](https://medium.com/@heyulei/capture-images-for-gaussian-splatting-81d081bbc826) - Image capture tutorial



### Video Tutorials

- [Getting Started (Windows)](https://youtu.be/UXtuigy_wYc)

- [Unity Integration Guide](https://youtu.be/5_GaPYBHqOo)

- [Two-Minute Explanation](https://youtu.be/HVv_IQKlafQ)

- [Jupyter Tutorial](https://www.youtube.com/watch?v=OcvA7fmiZYM)



## Sponsors



A big thank you to our sponsors for their generous support:



- [Yehe Liu](https://x.com/YeheLiu)