IA 3D
OpenPointClass
Free, fast semantic segmentation of 3D point clouds.
★ 202 étoilesAGPL-3.0
Voir le guide →street_gaussians est un projet de IA 3D open source, créé par zju3dv (zju3dv/street_gaussians sur GitHub). Il compte 1 405 étoiles sur GitHub et 106 forks, il est publié sous la licence NOASSERTION et a été mis à jour pour la dernière fois sur GitHub le 15 septembre 2026.
A utility for eCCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes.
The README documents setup; start with the install section.
Change the config to match your workflow, then run it daily.
Pull the latest changes to stay current with fixes.
Decide what you want street_gaussians to do first — a utility for eCCV 2024] Street Gaussians: Modeling Dynamic Urban Scen.
Readable code that is easy to modify.
Read and audit every line on GitHub.
Fork it and shape it to your needs.
Improved in the open by contributors.
Your data and setup stay yours.
Issues and PRs welcome on the repo.
Download the source and move into the project folder.
git clone https://github.com/zju3dv/street_gaussians.git
cd street-gaussiansInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointThe repo declares no license, so check with the maintainers before using it in anything commercial.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under NOASSERTION. Read the LICENSE file in the repo for the exact terms.
Start with the README, then the issue tracker on the GitHub repo at zju3dv/street_gaussians, where maintainers and users answer questions.
Free, fast semantic segmentation of 3D point clouds.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
Interactive Python viewer for real-time 3DGS editing and analysis.
ICLR 2024] Live Photorealistic Dynamic Scene Representation and Rendering.
A utility for eCCV'24 Oral] MVSplat.
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
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Interactive Python viewer for real-time 3DGS editing and analysis.
A utility for eCCV'24 Oral] MVSplat.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.