IA 3D
street_gaussians
A utility for eCCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes.
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Voir le guide →GS-SDF est un projet de IA 3D open source, créé par hku-mars (hku-mars/GS-SDF sur GitHub). Il compte 535 étoiles sur GitHub et 44 forks, il est publié sous la licence GPL-2.0 et a été mis à jour pour la dernière fois sur GitHub le 16 juillet 2026.
LiDAR-augmented Gaussian Splatting plus neural SDF, in real time.
Start at the project page.
Get the C++ implementation.
Follow the README build steps.
Fuse LiDAR with splatting.
Depth data guides the splats.
Implicit surfaces for geometry.
Runs live, not offline.
Peer-reviewed robotics research.
Performance-first code.
Paper and demos online.
Download the source and enter the folder.
git clone https://github.com/hku-mars/GS-SDF.git
cd GS-SDFSet up CMake per the README.
cmake -B build -DCMAKE_BUILD_TYPE=ReleaseBuild, then follow the data instructions.
cmake --build build --parallelLiDAR-augmented Gaussian Splatting with neural SDF from an IROS 2025 paper, at hku-mars/GS-SDF.
Depth measurements keep the reconstructed geometry consistent.
Yes, that is a core claim of the work.
The code is open under GPL-2.0.
Robotics and 3D vision researchers.
A utility for eCCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes.
(ICCV 2025) GaussianOcc: Entirely Self-supervised and Efficient 3D Occupancy
Vulkan viewer rendering 3D Gaussians via rasterization and raytracing.
Real-time LiDAR-inertial-camera Gaussian Splatting SLAM.
Nerfstudio — the plug-and-play studio for NeRFs and Gaussian splatting: turn photos of a real scene into explorable 3D, with a modular API and viewer, Apache-2.0
Real-time 3D room reconstruction on Meta Quest 3.
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Projets de la catégorie IA 3D proches dans le catalogue, les plus proches en étoiles de GS-SDF — continuez à explorer de part et d'autre.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
Mesh-in-the-loop Gaussian Splatting from a SIGGRAPH Asia paper.
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
Run visionary locally: the world model carrier built on webgpu-powered gaussia.
Bilingual AI interview cheat sheets plus a fact-checked academic homepage builder.
3D Gaussian Splatting viewer built on Three.js — mark, measure and render with preset LODs.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.