3DTopia/LGM

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.

HTMLMIT Licensegaussian-splattingnerf

8.8k536

nerfstudio-project/gsplat

CUDA accelerated rasterization of gaussian splatting

PythonPyPIApache License 2.0gaussian-splatting

docs.gsplat.studio

5.4k916

NVIDIAGameWorks/kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

PythonPyPIApache License 2.0pytorch3d-deep-learning

5.1k627

ArthurBrussee/brush

3D Reconstruction for all

Rustcrates.ioApache License 2.0gaussian-splattinggraphics

4.8k286

hku-mars/FAST-LIVO2

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

C++GNU General Public License v2.03d-reconstructioncolored-point-cloud

4.4k807

hustvl/4DGaussians

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Jupyter NotebookApache License 2.03dcomputer-vision

guanjunwu.github.io/4dgs/

3.8k382

Anttwo/SuGaR

[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

C++Other3d-gaussian-splatting3dgs

anttwo.github.io/sugar/

3.5k307

MrNeRF/LichtFeld-Studio

Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.

C++GNU General Public License v3.0cudagaussian-splatting

lichtfeld.io

3.4k398

luigifreda/pyslam

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

PythonPyPIGNU General Public License v3.03d-reconstructiondepth-prediction

3.4k533