3D-KI
3DGenStudio
Orchestrate complete 3D generation pipelines — from text-to-image, image editing, mesh generation, UV unwrapping, to texturing — all in a single visual works…
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Anleitung ansehen →mvsplat ist ein Open-Source-Projekt aus der Kategorie 3D-KI von donydchen (donydchen/mvsplat auf GitHub). Es hat 1.306 Sterne auf GitHub und 87 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 6. Mai 2026 auf GitHub aktualisiert.
A utility for eCCV'24 Oral] MVSplat.
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 mvsplat to do first — a utility for eCCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting f.
Working cost volume support built in.
Working eccv2024 support built in.
Working feed forward gaussian splatting support built in.
Uses 3D Gaussian splat rendering.
Readable code that is easy to modify.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/donydchen/mvsplat.git
cd mvsplatInstall 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 pointYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
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 MIT. Read the LICENSE file in the repo for the exact terms.
Yes — it lives on GitHub at donydchen/mvsplat. Open an issue or pull request; the contribution guide in the repo explains the process.
Orchestrate complete 3D generation pipelines — from text-to-image, image editing, mesh generation, UV unwrapping, to texturing — all in a single visual works…
A fast, friendly viewer for 3D Gaussian splat scenes.
IEEE research: edit animated 3D human textures with plain instructions.
A utility for eCCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes.
Recurrent Gaussian Splatting from an ECCV spotlight paper.
Python command-line utility designed for converting and processing 3D Gaussian.
Die anderen Projekte der Kategorie 3D-KI mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls mvsplat 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 mvsplat bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
📦Portable package for running Hunyuan3D 2.0/2.1 on Windows. | 混元 3D 2.0/2.1 整合包
Roblox Foundation Model for 3D Intelligence
CLI and library for processing and converting 3D Gaussian splats.
Feed-forward 3D from images: Gaussian splatting meets depth.
A utility for eCCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes.
CVPR 2026 Highlight, the CVPR Compute Gold Star] Offical code designed for "FastGS.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.