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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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View guide →A utility for eCCV'24 Oral] MVSplat.
mvsplat is an open-source ai 3d project by donydchen (donydchen/mvsplat on GitHub). It has 1,306 GitHub stars and 87 forks, is released under the MIT license, and was last updated on GitHub on 6 May 2026.
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.
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Free and open — grab the source, star the repo, and start creating.