A curated collection of resources focused on 3D Gaussian Splatting (3DGS) and related technologies.
Browse the Paper List | LichtFeld Studio | Contribute | MrNeRF
- Papers & Documentation
- Implementations
- Viewers & Game Engine Support
- Tools & Utilities
- Learning Resources
- Credits
Visit our comprehensive, searchable database of 3D Gaussian Splatting papers: Papers Database
- MIT Inverse Rendering Lectures (Module 2) - Academic deep dive into inverse rendering
- 3DGS Tutorial - Tutorial from the authors of the original 3DGS paper
- NERDS 360 Multi-View dataset - High-quality outdoor scene dataset
- Original Gaussian Splatting - The reference implementation by the original authors
| Implementation | Language | License | Description |
|---|---|---|---|
| LichtFeld Studio (lichtfeld.io) | C++/CUDA | GPL-3.0 | The modular workstation for 3D Gaussian Splatting — train, inspect, edit, automate, and export from a single native app |
| Nerfstudio gsplat | Python/CUDA | Apache-2.0 | Integration with Nerfstudio |
| OpenSplat | C++/CPU/GPU | AGPL-3.0 | Cross-platform solution |
| Taichi 3D GS | Taichi | Apache-2.0 | Taichi-based implementation |
| taichi-splatting | Taichi/PyTorch | Apache-2.0 | Modular rasterizer for Taichi and PyTorch |
| Grendel Distributed 3DGS | Python/CUDA | Apache-2.0 | Multi-GPU distributed training |
| Warp 3DGS | Warp/Python | AGPL-3.0 | Warp-based implementation |
| RI3D | Python/CUDA | Unlicense | Few-shot gaussian splatting pipeline |
| gaussian_splatting | Python/CUDA | MIT | Readable implementation with a written derivation of the math |
| 3d-gaussian-splatting | Python/CUDA | MIT | Compact reimplementation |
| gaussian_splatting_3d | Python/CUDA | Early community reimplementation | |
| My-exp-Gaussians | Python/CUDA | Enhances the ability of 3D Gaussians to model complex scenes | |
| 360-gaussian-splatting | Python | Trains splats directly from 360° images | |
| 2D Gaussian Splatting | Jupyter | MIT | Notebook walkthrough of 2D gaussian splatting |
| DGSO | Python | MIT | Style transfer applied during gaussian optimization |
| 3D-Gaussian-Splatting-Reconstruction | Python | Apache-2.0 | Pure PyTorch implementation from video input — no CUDA compilation required, supports CPU/NVIDIA GPU backends, built-in pose estimator & GUI |
| MetalSplat | PyTorch/Metal | MIT | Metal-based implementation for Apple Silicon GPUs on PyTorch with automatic kernel compilation at runtime |
- Pointrix - Differentiable point-based rendering
- msplat - Modular differential gaussian rasterization library
- GauStudio - Unified framework with multiple implementations
- DriveStudio - Urban scene reconstruction framework
- GSCodecStudio - Compression and Dynamic splattings
- gaussian-splatting-lightning - Derived algorithms plus an interactive web viewer
- Unity Plugin
- Unity Plugin (gsplat-unity)
- Unity Plugin (DynGsplat-unity) - For dynamic splattings
- Unreal Plugin (MLSLabsGaussianSplattingRenderer-UE)
- Unreal Plugin (XScene-UEPlugin)
- PlayCanvas Engine
- Godot Plugin (gdgs) - Real-time 3DGS rendering plugin for Godot 4.3+
WebGL
- Splat Viewer
- Gauzilla
- Interactive Viewer
- GaussianSplats3D
- gsplat.js
- A-Frame
- splaTV - Viewer for 4D Gaussians, with a live demo
- WebRTC viewer
WebGPU
- EPFL Viewer
- WebGPU Splat
- gaussian-splatting-webgpu
- SuperSplat Viewer - High-performance splat viewer
- PlayCanvas Model Viewer - Viewer for glTF and 3DGS assets
- 3DGS.cpp - C++/Vulkan renderer for Windows, macOS, Linux, iOS and visionOS
- vkgs - Cross-platform C++/Vulkan renderer
- splatviz - Edit the rendering code at runtime or display multiple scenes at once
- OpenGL Viewer - PyOpenGL viewer, also with official CUDA backend
- Taichi Viewer - Renderer with benchmarking capability
- DearGaussianGUI
- LiteViz-GS
- Nerfstudio Viser
- Nerfstudio (gaussian_splatting branch)
- Jupyter notebook viewer
- Blender Add-on
- Blender Add-on (KIRI)
- Blender Add-on (404—GEN)
- Houdini Viewport Renderer - HDK/GLSL implementation of Gaussian Splatting in Houdini
- iOS Metal Viewer
- VR Support (OpenXR)
- ROS2 Support
- Splat Local - Video-to-3DGS pipeline running fully locally on Apple Silicon (COLMAP/GLOMAP poses, Metal-native training via Brush), with training checkpoints streamed live into a browser viewer
- Kapture - Unified data format for visual localization
- Kapture image cropper - Undistorted image cropper to remove black borders
- 3DGS Converter - Format conversion tool
- Point Cloud Editor - Web-based point cloud editing
- SPZ Converter - SPZ conversion tool
- gsbox Converter - PLY SPLAT SPZ SPX conversion tool
- SplatTransform - CLI tool and Node/browser library for converting and editing splats, reads PLY, SOG, SPZ, SPLAT, KSPLAT and LCC/LCC2, writes PLY, SOG, SPZ, GLB, CSV, LOD and WebP
- GaussForge - C++/WASM-based conversion between PLY, SPZ, SPLAT, and KSPLAT
- SpectacularAI - Conversion scripts for different 3DGS conventions
- VGGT Factor Refinement - COLMAP-free pipeline using VGGT + factor graph, from video to COLMAP-format output
- splatreg - pip-installable splat registration: align & merge two 3DGS scans into one SE(3)/Sim(3) frame (recovers scale), CLI + pure-PyTorch API, no manual gizmo
- AURA - Calibrated per-splat confidence for 3DGS assets: held-out reliability labels, isotonic calibration, and a distribution-free conformal pruning certificate with a certified LOD ladder; exports via glTF/OpenUSD/SPZ (pip install aura-splat)
- Open Reality - Phone video to a 3D scene (VGGT-SLAM based, splat export with optional gsplat refinement) that an AI assistant can query over MCP: measurements, floor and wall planes, path planning, object list, robot-training exports; self-hostable
- GSOPs for Houdini - Houdini integration tools
- camorph - Camera parameter conversion
- SuperSplat - Free, open source browser-based 3DGS editor with one-click publishing
- 3DGS Introduction - HuggingFace guide
- Comprehensive overview of Gaussian Splatting
- Very good (technical) intro to 3D Gaussian Splatting
- Gaussian Splatting is pretty cool
- Making Gaussian Splats smaller
- Making Gaussian Splats more smaller
- Compressing Gaussian Splats
- PlayCanvas Open Sources SOG - Spatially Ordered Gaussians, a super-compressed format based on WebP that is 15-20x smaller than PLY
- Implementation Details - Technical deep dive
- Mathematical Foundation - Theory explanation
- Mathematical details of forward and backward passes
- PyTorch Implementation - Curated implementation of Vanilla 3DGS in PyTorch
- NeRFs vs. 3DGS
- Gaussian Head Avatars: A Summary
- 3D in Geospatial: NeRFs, Gaussian Splatting, and Spatial Computing
- Capture Guide - Image capture tutorial
- Discussion about gs universal format
- Gaussian Splats: Ready for Standardization? - Metaverse Standards Forum 1/28/2025
- Unity Integration Guide - Metaverse Standards Forum 5/6/2025
- Getting Started (Windows)
- Two-Minute Explanation
- Computerphile 3DGS explanation
- Gaussian Splats Town Hall - Part 2
- Intro to gaussian splatting (and Unity plugin)
- Jupyter Tutorial
- LichtFeld Studio - Tutorials, release walkthroughs and dev updates for LichtFeld Studio
- Thanks to Leonid Keselman for informing me about the release of the paper "Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting".
- Thanks to Eric Haines for suggesting the jupyter notebook viewer, windows tutorial and for fixing text hyphenations and other issues.
- Thanks to Henry Pearce for maintaining contributions.
- Yehe Liu