3D-KI
OpenPointClass
Free, fast semantic segmentation of 3D point clouds.
★ 202 SterneAGPL-3.0
Anleitung ansehen →street_gaussians ist ein Open-Source-Projekt aus der Kategorie 3D-KI von zju3dv (zju3dv/street_gaussians auf GitHub). Es hat 1.405 Sterne auf GitHub und 106 Forks, wird unter der Lizenz NOASSERTION veröffentlicht und wurde zuletzt am 15. September 2026 auf GitHub aktualisiert.
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
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls street_gaussians nicht das Richtige ist.
Control Blender with natural language: an MCP plugin that lets any LLM model, light and animate in 3D
Pascal Editor: an open-source 3D architectural editor with MCP tools for humans and AI agents
Give your AI agent CAD superpowers - generate real STEP/STL models from text
Turn a reference image into a procedural, animation-ready Three.js model - as code
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
Verwandte Projekte der Kategorie 3D-KI im Katalog, die street_gaussians bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Cross-vendor 3D Gaussian Splatting trainer: video to splat to mesh.
CLI and library for processing and converting 3D Gaussian splats.
The official implementation of the paper "LucidDreamer: Domain-free Generation of 3D
📦Portable package for running Hunyuan3D 2.0/2.1 on Windows. | 混元 3D 2.0/2.1 整合包
Interactive Python viewer for real-time 3DGS editing and analysis.
A utility for eCCV'24 Oral] MVSplat.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.