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‎README.md‎

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## Most Recent Update & News:
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[Complete List](./UpdateLog.md)
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- 7 May: added **2024** section
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- 21 Dec: added **verified** section
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- 26 Nov: added more details for cumstom data.
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- 14 Nov: Start a separate page for [**NeRF**](./nerf)
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- 29 Oct: Start a separate page for [**Dynamic NeRF**](./dynamic)
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- 27 Oct: [News] Luma AI releases ["Luma UE Plugin 0.4"](https://twitter.com/LumaLabsAI/status/1717979512313364626): now with splats! Crop, cull, relight, supporting UE 5.3!
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- May 2024: added **2024** section
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- Dec 2023: added **verified** section
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- 26 Nov 2023: added more details for cumstom data.
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- Nov 2023: Start a separate page for [**NeRF**](./nerf)
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- 29 Oct 2023: Start a separate page for [**Dynamic NeRF**](./dynamic)
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- 27 Oct 2023: [News] Luma AI releases ["Luma UE Plugin 0.4"](https://twitter.com/LumaLabsAI/status/1717979512313364626): now with splats! Crop, cull, relight, supporting UE 5.3!
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## 1. 3D Reconstruction
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- **3D Gaussian Splatting for Real-Time Radiance Field Rendering**,
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[Bernhard Kerbl](https://scholar.google.at/citations?user=jeasMB0AAAAJ&hl=en), [Georgios Kopanas](https://scholar.google.com/citations?user=QLWLLHMAAAAJ), [Thomas Leimkühler](https://www-sop.inria.fr/members/Thomas-Sebastian.Leimkuhler/), [George Drettakis](https://scholar.google.fr/citations?user=LGo5J4IAAAAJ&hl=en), SIGGRAPH 2023 (Best Paper).
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[[📄 Paper (Low Resolution)](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/3d_gaussian_splatting_low.pdf) | [📄 Paper (High Resolution)](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/3d_gaussian_splatting_high.pdf) | [🌐 Project Page](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/) | [💻 Code](https://github.com/graphdeco-inria/gaussian-splatting) | [🎥 Short Presentation](https://youtu.be/T_kXY43VZnk?si=DrkbDFxQAv5scQNT) | [🎥 Explanation Video](https://www.youtube.com/live/xgwvU7S0K-k?si=edF8NkYtsRbgTbKi) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pdaicode/awesome-3dgs/blob/master/colabs/gaussian_splatting_colab.ipynb)]
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### Other Neural Rendering Papers
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- N-BVH: Neural ray queries with bounding volume hierarchies, SIGGRAPH 2024. [[Paper](https://weiphil.s3.eu-central-1.amazonaws.com/neural_bvh.pdf) | [Project](https://weiphil.github.io/portfolio/neural_bvh) | [Code](https://github.com/WeiPhil/nbvh)]
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- High-quality Surface Reconstruction using Gaussian Surfels. [[Paper](https://arxiv.org/pdf/2404.17774) | [Code](https://github.com/turandai/gaussian_surfels)]
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### 2024
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- GaussianPro: 3D Gaussian Splatting with Progressive Propagation, [[Paper](https://arxiv.org/abs/2402.14650) | [Project](https://github.com/kcheng1021/GaussianPro)]
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- VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality, [[Paper](https://arxiv.org/abs/2401.16663) | [Project](https://yingjiang96.github.io/VR-GS/)]
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- MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images, [[Paper](https://arxiv.org/pdf/2403.14627) | [Project](https://github.com/donydchen/mvsplat)]
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- Deblur-GS: 3D Gaussian Splatting from Camera Motion Blurred Images, I3D 2024. [[Paper](https://chaphlagical.icu/Deblur-GS/static/paper/Deblur_GS_author_version.pdf) | [Code](https://github.com/Chaphlagical/Deblur-GS)]
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- [2DGS](./colabs/2DGS.ipynb): 2D Gaussian Splatting for Geometrically Accurate Radiance Fields, SIGGRAPH 2024. [[Paper](https://arxiv.org/abs/2403.17888) | [Project](https://surfsplatting.github.io/) | [Code](https://github.com/hbb1/2d-gaussian-splatting)]
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**SLAM & Sensor Fusion**
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- Gaussian Splatting SLAM, CVPR 2024 [[Paper](https://arxiv.org/abs/2312.06741) | [Code](https://github.com/muskie82/MonoGS)]
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- InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 10 Seconds, [[Paper](https://arxiv.org/pdf/2403.20309.pdf)
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- HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression, [[Paper](https://arxiv.org/abs/2403.14530) | [Code](https://github.com/YihangChen-ee/HAC)]
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- Reducing the Memory Footprint of 3D Gaussian Splatting, [[Paper](https://repo-sam.inria.fr/fungraph/reduced_3dgs/reduced_3DGS_i3d.pdf) | [Project](https://repo-sam.inria.fr/fungraph/reduced_3dgs/#:~:text=Our%20approach%20to%20reduce%20the,is%20applied%20as%20post%2Dprocessing.)]
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- SUNDAE: Spectrally Pruned Gaussian Fields with Neural Compensation, [[Paper](https://runyiyang.github.io/data/SUNDAE.pdf) | [Code](https://github.com/RunyiYang/SUNDAE)]
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### 2023
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Speed & Efficiency
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- [Taichi 3D Gaussian Splatting](https://github.com/wanmeihuali/taichi_3d_gaussian_splatting)
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### Viewers
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- [Playcanvas](https://github.com/playcanvas/supersplat)
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- [Luma AI (WebGL)](https://lumalabs.ai/luma-web-library)
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- [WebGL Viewer 1](https://github.com/antimatter15/splat)
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- [WebGL Viewer 2](https://github.com/cvlab-epfl/gaussian-splatting-web)

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