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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.
| Date | Stars |
|---|---|
| 2026-07-24 | 8776 |
| 2026-07-25 | 8778 |
| 2026-07-28 | 8778 |
| 2026-07-30 | 8778 |
| 2026-08-06 | 8778 |
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# Awesome 3D Gaussian Splatting <div align="center"> 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) | [**MrNeRF**](https://www.mrnerf.com) </div> ## 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 | | ------------------------------------------------------------------------ | ----------- | ---------- | ------------------------------- | | [LichtFeld-Studio](https://github.com/MrNeRF/LichtFeld-Studio) ([lichtfeld.io](https://lichtfeld.io)) | C++/CUDA | GPL-v3.0 | Train, inspect, and Edit | | [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 | | [OpenSplat](https://github.com/pierotofy/OpenSplat) | C++/CPU/GPU | AGPL-3.0 | Cross-platform solution | | [Warp 3DGS](https://github.com/guoriyue/3dgs-warp-scratch) | Warp/Python | AGPL-3.0 | Warp-based implementation | | [RI3D](https://github.com/Asus-Monitor/ri3d-impl) | Python/CUDA | Unlicense | Few-shot gaussian splatting pipeline | ### 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 - [GSCodecStudio](https://github.com/JasonLSC/GSCodec_Studio) - Compression and Dynamic splattings ## Viewers & Game Engine Support ### Game Engines - [Unity Plugin](https://github.com/aras-p/UnityGaussianSplatting) - [Unity Plugin (gsplat-unity)](https://github.com/wuyize25/gsplat-unity) - [Unity Plugin (DynGsplat-unity)](https://github.com/HiFi-Human/DynGsplat-unity) - For dynamic splattings - [Unreal Plugin (MLSLabsGaussianSplattingRenderer-UE) ](https://github.com/mlslabs/MLSLabsGaussianSplattingRenderer-UE)) - [Unreal Plugin (XV3DGS-UEPlugin)](https://github.com/xverse-engine/XV3DGS-UEPlugin) - [PlayCanvas Engine](https://github.com/playcanvas/engine) ### 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) - [GaussianSplats3D](https://github.com/mkkellogg/GaussianSplats3D) - [PlayCanvas Model Viewer](https://github.com/playcanvas/model-viewer) - [SuperSplat Viewer](https://github.com/playcanvas/supersplat-viewer) **WebGPU** - [EPFL Viewer](https://github.com/cvlab-epfl/gaussian-splatting-w
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janusch · Switzerland
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Ruijie Zhu · Singapore
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ShanghaiTech University · China
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Paul Melis · SURF · Netherlands
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paulpanwang · Alibaba Cloud, ByteDance Seed · China
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Juno
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Dominik Woiwode
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Hardik Dava · Germany
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ade548bc4f252f65, topic:nerf, topic:gaussian-splatting, name:gaussian splatting