[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-71877":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":32,"readmeContent":33,"aiSummary":34,"trendingCount":16,"starSnapshotCount":16,"syncStatus":35,"lastSyncTime":36,"discoverSource":37},71877,"awesome-3D-gaussian-splatting","MrNeRF\u002Fawesome-3D-gaussian-splatting","MrNeRF","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.","",null,"HTML",8682,536,234,3,0,5,24,89,15,95.09,"MIT License",false,"main",true,[27,28,29,30,31],"3d-gaussian-splatting","3dgs","gaussian-splatting","nerf","neural-rendering","2026-06-12 04:01:02","# Awesome 3D Gaussian Splatting\n\n\u003Cdiv align=\"center\">\n  A curated collection of resources focused on 3D Gaussian Splatting (3DGS) and related technologies.\n\n  [**Browse the Paper List**](https:\u002F\u002Fmrnerf.github.io\u002Fawesome-3D-gaussian-splatting\u002F) | [**Contribute**](CONTRIBUTING.md) | [**MrNeRF**](https:\u002F\u002Fwww.mrnerf.com)\n\n\u003C\u002Fdiv>\n\n## Contents\n\n- [Papers & Documentation](#papers--documentation)\n- [Implementations](#implementations)\n- [Viewers & Game Engine Support](#viewers--game-engine-support)\n- [Tools & Utilities](#tools--utilities)\n- [Learning Resources](#learning-resources)\n- [Sponsors](#sponsors)\n\n## Papers & Documentation\n\n### Papers Database\n\nVisit our comprehensive, searchable database of 3D Gaussian Splatting papers:\n[Papers Database](https:\u002F\u002Fmrnerf.github.io\u002Fawesome-3D-gaussian-splatting\u002F)\n\n### Courses\n\n- [MIT Inverse Rendering Lectures (Module 2)](https:\u002F\u002Fwww.scenerepresentations.org\u002Fcourses\u002Finverse-graphics-23\u002F) - Academic deep dive into inverse rendering\n\n### Datasets\n\n- [NERDS 360 Multi-View dataset](https:\u002F\u002Fzubair-irshad.github.io\u002Fprojects\u002Fneo360.html) - High-quality outdoor scene dataset\n\n## Implementations\n\n### Official Reference\n\n- [Original Gaussian Splatting](https:\u002F\u002Fgithub.com\u002Fgraphdeco-inria\u002Fgaussian-splatting) - The reference implementation by the original authors\n\n### Community Implementations\n\n| Implementation                                                           | Language    | License    | Description                     |\n| ------------------------------------------------------------------------ | ----------- | ---------- | ------------------------------- |\n| [LichtFeld-Studio](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002FLichtFeld-Studio)                   | C++\u002FCUDA    | GPL-3.0 | High-performance implementation |\n| [Taichi 3D GS](https:\u002F\u002Fgithub.com\u002Fwanmeihuali\u002Ftaichi_3d_gaussian_splatting) | Taichi      | Apache-2.0 | Taichi-based implementation     |\n| [Nerfstudio gsplat](https:\u002F\u002Fgithub.com\u002Fnerfstudio-project\u002Fgsplat)           | Python\u002FCUDA | Apache-2.0 | Integration with Nerfstudio     |\n| [OpenSplat](https:\u002F\u002Fgithub.com\u002Fpierotofy\u002FOpenSplat)                         | C++\u002FCPU\u002FGPU | AGPL-3.0   | Cross-platform solution         |\n| [Grendel](https:\u002F\u002Fgithub.com\u002Fnyu-systems\u002FGrendel-GS)                        | Python\u002FCUDA | Apache-2.0 | Distributed computing focus     |\n| [Warp 3DGS](https:\u002F\u002Fgithub.com\u002Fguoriyue\u002F3dgs-warp-scratch)                  | Warp\u002FPython | AGPL-3.0   | Warp-based implementation       |\n| [RI3D](https:\u002F\u002Fgithub.com\u002FAsus-Monitor\u002Fri3d-impl)                           | Python\u002FCUDA | Unlicense  | Few-shot gaussian splatting pipeline |\n\n### Frameworks\n\n- [Pointrix](https:\u002F\u002Fgithub.com\u002Fpointrix-project\u002Fpointrix) - Differentiable point-based rendering\n- [GauStudio](https:\u002F\u002Fgithub.com\u002FGAP-LAB-CUHK-SZ\u002Fgaustudio) - Unified framework with multiple implementations\n- [DriveStudio](https:\u002F\u002Fgithub.com\u002Fziyc\u002Fdrivestudio) - Urban scene reconstruction framework\n- [GSCodecStudio](https:\u002F\u002Fgithub.com\u002FJasonLSC\u002FGSCodec_Studio) - Compression and Dynamic splattings\n\n## Viewers & Game Engine Support\n\n### Game Engines\n\n- [Unity Plugin](https:\u002F\u002Fgithub.com\u002Faras-p\u002FUnityGaussianSplatting)\n- [Unity Plugin (gsplat-unity)](https:\u002F\u002Fgithub.com\u002Fwuyize25\u002Fgsplat-unity)\n- [Unity Plugin (DynGsplat-unity)](https:\u002F\u002Fgithub.com\u002FHiFi-Human\u002FDynGsplat-unity) - For dynamic splattings\n- [Unreal Plugin (MLSLabsGaussianSplattingRenderer-UE) ](https:\u002F\u002Fgithub.com\u002Fmlslabs\u002FMLSLabsGaussianSplattingRenderer-UE))\n- [Unreal Plugin (XV3DGS-UEPlugin)](https:\u002F\u002Fgithub.com\u002Fxverse-engine\u002FXV3DGS-UEPlugin)\n- [PlayCanvas Engine](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fengine)\n\n### Web Viewers\n\n**WebGL**\n\n- [Splat Viewer](https:\u002F\u002Fgithub.com\u002Fantimatter15\u002Fsplat)\n- [Gauzilla](https:\u002F\u002Fgithub.com\u002FBladeTransformerLLC\u002Fgauzilla)\n- [Interactive Viewer](https:\u002F\u002Fgithub.com\u002Fkishimisu\u002FGaussian-Splatting-WebGL)\n- [GaussianSplats3D](https:\u002F\u002Fgithub.com\u002Fmkkellogg\u002FGaussianSplats3D)\n- [PlayCanvas Model Viewer](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fmodel-viewer)\n- [SuperSplat Viewer](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fsupersplat-viewer)\n\n**WebGPU**\n\n- [EPFL Viewer](https:\u002F\u002Fgithub.com\u002Fcvlab-epfl\u002Fgaussian-splatting-web)\n- [WebGPU Splat](https:\u002F\u002Fgithub.com\u002FKeKsBoTer\u002Fweb-splat)\n\n### Desktop Viewers\n\n**Linux**\n\n- [DearGaussianGUI](https:\u002F\u002Fgithub.com\u002Fleviome\u002FDearGaussianGUI)\n- [LiteViz-GS](https:\u002F\u002Fgithub.com\u002Fpanxkun\u002Fliteviz-gs)\n\n### Native Applications\n\n- [Blender Add-on](https:\u002F\u002Fgithub.com\u002FReshotAI\u002Fgaussian-splatting-blender-addon)\n- [Blender Add-on (KIRI)](https:\u002F\u002Fgithub.com\u002FKiri-Innovation\u002F3dgs-render-blender-addon)\n- [Blender Add-on (404—GEN)](https:\u002F\u002Fgithub.com\u002F404-Repo\u002Fthree-gen-blender-plugin)\n- [iOS Metal Viewer](https:\u002F\u002Fgithub.com\u002Flaanlabs\u002Fmetal-splats)\n- [OpenGL Viewer](https:\u002F\u002Fgithub.com\u002Flimacv\u002FGaussianSplattingViewer)\n- [VR Support (OpenXR)](https:\u002F\u002Fgithub.com\u002Fhyperlogic\u002Fsplatapult)\n- [ROS2 Support](https:\u002F\u002Fgithub.com\u002Fshadygm\u002FROSplat)\n\n## Tools & Utilities\n\n### Data Processing\n\n- [Kapture](https:\u002F\u002Fgithub.com\u002Fnaver\u002Fkapture) - Unified data format for visual localization\n- [3DGS Converter](https:\u002F\u002Fgithub.com\u002Ffrancescofugazzi\u002F3dgsconverter) - Format conversion tool\n- [Point Cloud Editor](https:\u002F\u002Fgithub.com\u002FJohannesKrueger\u002Fpointcloudeditor) - Web-based point cloud editing\n- [SPZ Converter](https:\u002F\u002Fgithub.com\u002Fstytim\u002Fspz) - SPZ conversion tool\n- [gsbox Converter](https:\u002F\u002Fgithub.com\u002Fgotoeasy\u002Fgsbox) - PLY SPLAT SPZ SPX conversion tool\n- [SplatTransform](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fsplat-transform) - CLI tool for converting and editing splats\n- [GaussForge](https:\u002F\u002Fgithub.com\u002F3dgscloud\u002FGaussForge) - C++\u002FWASM-based conversion between PLY, SPZ, SPLAT, and KSPLAT.\n\n### Development Tools\n\n- [GSOPs for Houdini](https:\u002F\u002Fgithub.com\u002Fdavid-rhodes\u002FGSOPs) - Houdini integration tools\n- [camorph](https:\u002F\u002Fgithub.com\u002FFraunhofer-IIS\u002Fcamorph) - Camera parameter conversion\n- [SuperSplat](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fsupersplat) - Browser-based 3DGS editor\n\n## Learning Resources\n\n### Blog Posts\n\n- [3DGS Introduction](https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fgaussian-splatting) - HuggingFace guide\n- [Implementation Details](https:\u002F\u002Fgithub.com\u002Fkwea123\u002Fgaussian_splatting_notes) - Technical deep dive\n- [Mathematical Foundation](https:\u002F\u002Fgithub.com\u002Fchiehwangs\u002F3d-gaussian-theory) - Theory explanation\n- [Capture Guide](https:\u002F\u002Fmedium.com\u002F@heyulei\u002Fcapture-images-for-gaussian-splatting-81d081bbc826) - Image capture tutorial\n- [PyTorch Implementation](https:\u002F\u002Fmyasincifci.github.io\u002F) - Curated implementation of Vanilla 3DGS in PyTorch\n\n### Talks\n\n- [Gaussian Splats: Ready for Standardization?](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=0xdPpKSkO3I) - Metaverse Standards Forum 1\u002F28\u002F2025\n- [Unity Integration Guide](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=pM_HV2TU4rU&t=5298s) - Metaverse Standards Forum 5\u002F6\u002F2025\n\n### Video Tutorials\n\n- [Getting Started (Windows)](https:\u002F\u002Fyoutu.be\u002FUXtuigy_wYc)\n- [Gaussian Splats Town Hall - Part 2](https:\u002F\u002Fyoutu.be\u002F5_GaPYBHqOo)\n- [Two-Minute Explanation](https:\u002F\u002Fyoutu.be\u002FHVv_IQKlafQ)\n- [Jupyter Tutorial](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=OcvA7fmiZYM)\n\n\u003Cbr>\n\n## Data\n- [NERDS 360 Multi-View dataset for Outdoor Scenes](https:\u002F\u002Fzubair-irshad.github.io\u002Fprojects\u002Fneo360.html)\n\n\u003Cbr>\n\n## Courses\n- [MIT Inverse Rendering Lectures (Module 2)](https:\u002F\u002Fwww.scenerepresentations.org\u002Fcourses\u002Finverse-graphics-23\u002F)\n\n\u003Cbr>\n\n## Open Source Implementations \n### Reference \n- [Gaussian Splatting](https:\u002F\u002Fgithub.com\u002Fgraphdeco-inria\u002Fgaussian-splatting)\n\n### Unofficial Implementations\n|                                                                                             | Language       | License    |\n|---------------------------------------------------------------------------------------------|----------------|------------|\n| [Taichi 3D Gaussian Splatting](https:\u002F\u002Fgithub.com\u002Fwanmeihuali\u002Ftaichi_3d_gaussian_splatting) | taichi         | Apache-2.0 |\n| [Gaussian Splatting 3D](https:\u002F\u002Fgithub.com\u002Fheheyas\u002Fgaussian_splatting_3d)                   | Python\u002FCUDA    |            |\n| [3D Gaussian Splatting](https:\u002F\u002Fgithub.com\u002FWangFeng18\u002F3d-gaussian-splatting)                | Python\u002FCUDA    | MIT        |\n| [fast](https:\u002F\u002Fgithub.com\u002FMrNeRF\u002Fgaussian-splatting-cuda)                                   | C++\u002FCUDA       | Inria\u002FMPII |\n| [nerfstudio](https:\u002F\u002Fgithub.com\u002Fnerfstudio-project\u002Fgsplat)                                  | Python\u002FCUDA    | Apache-2.0 |\n| [taichi-splatting](https:\u002F\u002Fgithub.com\u002Fuc-vision\u002Ftaichi-splatting)                           | taichi\u002FPyTorch | Apache-2.0 |\n| [OpenSplat](https:\u002F\u002Fgithub.com\u002Fpierotofy\u002FOpenSplat)                                         | C++\u002FCPU or GPU | AGPL-3.0   |\n| [3D Gaussian Splatting](https:\u002F\u002Fgithub.com\u002Fjoeyan\u002Fgaussian_splatting)                       | Python\u002FCUDA    | MIT        |\n| [Grendel Distributed 3DGS](https:\u002F\u002Fgithub.com\u002Fnyu-systems\u002FGrendel-GS)                       | Python\u002FCUDA    | Apache-2.0 |\n\n### 2D Gaussian Splatting\n- [jupyter notebook 2D GS splatting](https:\u002F\u002Fgithub.com\u002FOutofAi\u002F2D-Gaussian-Splatting)\n\n### Gaussian Style Transfer \n- [Direct Gaussian Style Optimization (DGSO): Stylizing 3D Gaussian Splats](https:\u002F\u002Fgithub.com\u002FAn-u-rag\u002Fstylized-gaussian-splatting) - Applying style transfer during gaussian optimization to produce stylized gaussian splats of a scene.\n\n### Game Engines \n- [Unity](https:\u002F\u002Fgithub.com\u002Faras-p\u002FUnityGaussianSplatting)\n- [PlayCanvas](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fengine\u002Ftree\u002Fmain\u002Fsrc\u002Fscene\u002Fgsplat)\n- [Unreal](https:\u002F\u002Fgithub.com\u002Fxverse-engine\u002FXV3DGS-UEPlugin)\n\n### Viewers\n- [WebGL Viewer 1](https:\u002F\u002Fgithub.com\u002Fantimatter15\u002Fsplat)\n- [WebGL Viewer 2](https:\u002F\u002Fgithub.com\u002Fkishimisu\u002FGaussian-Splatting-WebGL)\n- [WebGL Viewer 3](https:\u002F\u002Fgithub.com\u002FBladeTransformerLLC\u002Fgauzilla)\n- [WebGPU Viewer 1](https:\u002F\u002Fgithub.com\u002Fcvlab-epfl\u002Fgaussian-splatting-web)\n- [WebGPU Viewer 2](https:\u002F\u002Fgithub.com\u002FMarcusAndreasSvensson\u002Fgaussian-splatting-webgpu)\n- [WebGPU Viewer 3](https:\u002F\u002Fgithub.com\u002FKeKsBoTer\u002Fweb-splat)\n- [Three.js](https:\u002F\u002Fgithub.com\u002Fmkkellogg\u002FGaussianSplats3D)\n- [A-Frame](https:\u002F\u002Fgithub.com\u002Fquadjr\u002Faframe-gaussian-splatting)\n- [Nerfstudio Unofficial](https:\u002F\u002Fgithub.com\u002Fyzslab\u002Fnerfstudio\u002Ftree\u002Fgaussian_splatting)\n- [Nerfstudio Viser](https:\u002F\u002Fgithub.com\u002Fnerfstudio-project\u002Fviser)\n- [Blender (Editor)](https:\u002F\u002Fgithub.com\u002FReshotAI\u002Fgaussian-splatting-blender-addon\u002Ftree\u002Fmaster)\n- [WebRTC viewer](https:\u002F\u002Fgithub.com\u002Fdylanebert\u002Fgaussian-viewer)\n- [iOS & Metal viewer](https:\u002F\u002Fgithub.com\u002Flaanlabs\u002Fmetal-splats)\n- [jupyter notebook](https:\u002F\u002Fgithub.com\u002Fshumash\u002Fgaussian-splatting\u002Fblob\u002Fmshugrina\u002Finteractive\u002Finteractive.ipynb)\n- [PyOpenGL viewer (also with official CUDA backend)](https:\u002F\u002Fgithub.com\u002Flimacv\u002FGaussianSplattingViewer.git)\n- [PlayCanvas Viewer](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fmodel-viewer)\n- [gsplat.js](https:\u002F\u002Fgithub.com\u002Fdylanebert\u002Fgsplat.js)\n- [Splatapult](https:\u002F\u002Fgithub.com\u002Fhyperlogic\u002Fsplatapult) - 3d gaussian splatting renderer in C++ and OpenGL, works with OpenXR for tethered VR\n- [3DGS.cpp](https:\u002F\u002Fgithub.com\u002Fshg8\u002F3DGS.cpp) - cross-platform, high performance 3DGS renderer in C++ and Vulkan Compute, supporting Windows, macOS, Linux, iOS, and visionOS\n- [vkgs](https:\u002F\u002Fgithub.com\u002Fjaesung-cs\u002Fvkgs) - cross-platform, high performance 3DGS renderer in C++ and Vulkan Compute\u002FGraphics\n- [spaTV](https:\u002F\u002Fgithub.com\u002Fantimatter15\u002FsplaTV) - WebGL Viewer for 4D Gaussians (based on SpaceTime Gaussian) with demo [here](http:\u002F\u002Fantimatter15.com\u002FsplaTV\u002F)\n- [Taichi Viewer](https:\u002F\u002Fgithub.com\u002Fuc-vision\u002Fsplat-viewer)\n- [uc-vision-splat-viewer](https:\u002F\u002Fgithub.com\u002Fuc-vision\u002Fsplat-viewer)(3D gaussin splatting renderer with benchmarking capability)\n- [splatviz](https:\u002F\u002Fgithub.com\u002FFlorian-Barthel\u002Fsplatviz) - Viewer that allows you to edit the rendering code during runtime or to display multiple scenes at once.\n- [Houdini Gaussian Splatting Viewport Renderer](https:\u002F\u002Fgithub.com\u002Frubendhz\u002Fhoudini-gsplat-renderer) - A HDK\u002FGLSL implementation of Gaussian Splatting in Houdini\n\n### Utilities\n- [Kapture](https:\u002F\u002Fgithub.com\u002Fnaver\u002Fkapture) - A unified data format to facilitate visual localization and structure from motion e.g. for bundler to colmap model conversion\n- [Kapture image cropper script](https:\u002F\u002Fgist.github.com\u002Fjo-chemla\u002F258e6e40d3d6c2220b29518ff3c17c40) - Undistorted image cropper script to remove black borders with included conversion instructions\n- [camorph](https:\u002F\u002Fgithub.com\u002FFraunhofer-IIS\u002Fcamorph) - A toolbox for conversion between camera parameter conventions e.g. Reality Capture to colmap model\n- [3DGS Converter](https:\u002F\u002Fgithub.com\u002Ffrancescofugazzi\u002F3dgsconverter) - A tool for converting 3D Gaussian Splatting .ply files into a format suitable for Cloud Compare and vice-versa\n- [SuperSplat](https:\u002F\u002Fgithub.com\u002Fplaycanvas\u002Fsuper-splat) - Open source browser-based tool to clean\u002Ffilter, reorient and compress .ply\u002F.splat files\n- [SpectacularAI](https:\u002F\u002Fgithub.com\u002FSpectacularAI\u002Fpoint-cloud-tools) - Conversion scripts for different 3DGS conventions\n- [GSOPs](https:\u002F\u002Fgithub.com\u002Fdavid-rhodes\u002FGSOPs) - GSOPs (Gaussian Splat Operators) for SideFX Houdini. Import, edit, and export models, or generate synthetic training data\n- [Point Cloud Editor](https:\u002F\u002Fgithub.com\u002FJohannesKrueger\u002Fpointcloudeditor) - Clean and edit pointclouds from that are in colmap sparse format in a browser to improve reconstruction results\n- [VGGT Factor Refinement](https:\u002F\u002Fgithub.com\u002Fjashshah999\u002Fvggt-factor-refinement) - COLMAP-free reconstruction pipeline using VGGT + factor graph. One command from video to COLMAP-format output for 3DGS training. Works on 8GB+ GPUs.\n\n### Tutorial\n- [Tutorial from the authors of 3DGS](https:\u002F\u002F3dgstutorial.github.io\u002F)\n\n### Framework\n- [Pointrix](https:\u002F\u002Fgithub.com\u002Fpointrix-project\u002Fpointrix) - A differentiable point-based rendering framework.\n- [msplat](https:\u002F\u002Fgithub.com\u002Fpointrix-project\u002Fmsplat) - A modular differential gaussian rasterization library.\n- [GauStudio](https:\u002F\u002Fgithub.com\u002FGAP-LAB-CUHK-SZ\u002Fgaustudio) - Unified framework with different paper implementations\n- [DriveStudio](https:\u002F\u002Fgithub.com\u002Fziyc\u002Fdrivestudio) - A 3DGS framework for omni urban scene reconstruction and simulation.\n- [gaussian-splatting-lightning](https:\u002F\u002Fgithub.com\u002Fyzslab\u002Fgaussian-splatting-lightning) - A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer\n\n### Other\n- [My-exp-Gaussians](https:\u002F\u002Fgithub.com\u002Fingra14m\u002FMy-exp-Gaussians) - Enhancing the ability of 3D Gaussians to model complex scenes\n- [360-gaussian-splatting](https:\u002F\u002Fgithub.com\u002Finuex35\u002F360-gaussian-splatting) - Generate gaussian splatting directly from 360 images\n\n\n## Blog Posts\n\n1. [Gaussian Splatting is pretty cool](https:\u002F\u002Faras-p.info\u002Fblog\u002F2023\u002F09\u002F05\u002FGaussian-Splatting-is-pretty-cool\u002F)\n2. [Making Gaussian Splats smaller](https:\u002F\u002Faras-p.info\u002Fblog\u002F2023\u002F09\u002F13\u002FMaking-Gaussian-Splats-smaller\u002F)\n3. [Making Gaussian Splats more smaller](https:\u002F\u002Faras-p.info\u002Fblog\u002F2023\u002F09\u002F27\u002FMaking-Gaussian-Splats-more-smaller\u002F)\n4. [Introduction to 3D Gaussian Splatting](https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fgaussian-splatting)\n5. [Very good (technical) intro to 3D Gaussian Splatting](https:\u002F\u002Fmedium.com\u002F@AriaLeeNotAriel\u002Fnumbynum-3d-gaussian-splatting-for-real-time-radiance-field-rendering-kerbl-et-al-60c0b25e5544)\n6. [Write up on some mathematical details of the 3DGS implementation](https:\u002F\u002Fgithub.com\u002Fkwea123\u002Fgaussian_splatting_notes)\n7. [Discussion about gs universal format](https:\u002F\u002Fgithub.com\u002Fmkkellogg\u002FGaussianSplats3D\u002Fissues\u002F47#issuecomment-1801360116)\n8. [Math explanation to understand 3DGS](https:\u002F\u002Fgithub.com\u002Fchiehwangs\u002F3d-gaussian-theory)\n9. [Compressing Gaussian Splats](https:\u002F\u002Fblog.playcanvas.com\u002Fcompressing-gaussian-splats\u002F)\n10. [Comprehensive overview of Gaussian Splatting](https:\u002F\u002Ftowardsdatascience.com\u002Fa-comprehensive-overview-of-gaussian-splatting-e7d570081362)\n11. [Gaussian Head Avatars: A Summary](https:\u002F\u002Ftowardsdatascience.com\u002Fgaussian-head-avatars-a-summary-2bd17bd48500)\n12. [NeRFs vs. 3DGS](https:\u002F\u002Fedwardahn.me\u002Fwriting\u002FNeRFvs3DGS\u002F)\n13. [Howto capture images for 3DGS](https:\u002F\u002Fmedium.com\u002F@heyulei\u002Fcapture-images-for-gaussian-splatting-81d081bbc826)\n14. [Mathematical details of forward and backward passes](https:\u002F\u002Fgithub.com\u002Fjoeyan\u002Fgaussian_splatting\u002Fblob\u002Fmain\u002FMATH.md)\n15. [3D in Geospatial: NeRFs, Gaussian Splatting, and Spatial Computing](https:\u002F\u002Fckoziol.com\u002Fblog\u002F2024\u002Fradiance_methods\u002F)\n\n## Tutorial Videos\n\n1. [Getting Started with 3DGS for Windows](https:\u002F\u002Fyoutu.be\u002FUXtuigy_wYc?si=j1vfORNspcocSH-b)\n2. [How to view 3DGS Scenes in Unity](https:\u002F\u002Fyoutu.be\u002F5_GaPYBHqOo?si=6u9j1HqXwF_5WSUL)\n3. [Two-minute explanation of 3DGS](https:\u002F\u002Fyoutu.be\u002FHVv_IQKlafQ?si=w5c9XKHfKIBuXDLW)\n4. [Jupyter notebook tutorial](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=OcvA7fmiZYM&t=2s)\n5. [Intro to gaussian splatting (and Unity plugin)](https:\u002F\u002Fwww.xuanprada.com\u002Fblog\u002F2023\u002F10\u002F22\u002Fintro-to-gaussian-splatting)\n6. [Computerphile 3DGS explanation](https:\u002F\u002Fyoutu.be\u002FVkIJbpdTujE?si=1GLjzBfF9LCuT22o)\n\n## Credits\n\n- Thanks to [Leonid Keselman](https:\u002F\u002Fgithub.com\u002Fleonidk) for informing me about the release of the paper \"Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting\".\n- Thanks to [Eric Haines](https:\u002F\u002Fgithub.com\u002Ferich666) for suggesting the jupyter notebook viewer, windows tutorial and for fixing text hyphenations and other issues.\n- Thanks to [Henry Pearce](https:\u002F\u002Fgithub.com\u002Fhenrypearce4D) for maintaining contributions.\n=======\n- [Yehe Liu](https:\u002F\u002Fx.com\u002FYeheLiu)\n>>>>>>> 7656f5e7ed3bc239fae0e9a8e1990be82bd7daa9\n","该项目是一个专注于3D高斯点云渲染（3DGS）的精选资源列表，旨在跟踪这一领域即将到来的研究热潮。它汇集了相关论文、实现案例、工具和学习资料，为研究人员和技术爱好者提供了一个全面的知识库。项目采用HTML构建，具有高度可访问性和用户友好性，支持多种编程语言如C++\u002FCUDA、Python及Taichi等实现方式，并且涵盖了从学术研究到实际应用的不同场景。无论是对3D建模、计算机视觉还是神经渲染感兴趣的开发者，都能在此找到宝贵的信息与资源。",2,"2026-06-11 03:39:03","high_star"]