AI 3D
LongSplat
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
★ 811 starsNOASSERTION
View guide →A 3DGS framework with derived algorithms and a web viewer.
gaussian-splatting-lightning is an open-source ai 3d project by yzslab (yzslab/gaussian-splatting-lightning on GitHub). It has 1,107 GitHub stars and 85 forks, is released under the NOASSERTION license, and was last updated on GitHub on 25 May 2026.
Get the framework.
Set up the Python environment.
Choose among the derived methods.
Inspect results in the web viewer.
Derived 3DGS methods in one place.
Interactive browser inspection.
Notebook-based workflows.
A community staple.
Compare variants side by side.
Accessible to researchers.
Download the source and enter the folder.
git clone https://github.com/yzslab/gaussian-splatting-lightning.git
cd gaussian-splatting-lightningSet up the Python environment.
pip install -r requirements.txtOpen the interactive workflows.
jupyter labA 3D Gaussian Splatting framework with derived algorithms and a web viewer, at yzslab/gaussian-splatting-lightning.
Various post-paper 3DGS derivatives; see the README.
Yes. An interactive viewer for inspecting results.
The code is on GitHub; no license is asserted, so check the repo.
Researchers and students of 3D Gaussian Splatting.
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
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Free and open — grab the source, star the repo, and start creating.