IA 3D
LongSplat
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
★ 811 étoilesNOASSERTION
Voir le guide →resplat est un projet de IA 3D open source, créé par cvg (cvg/resplat sur GitHub). Il compte 365 étoiles sur GitHub et 35 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 21 août 2026.
Recurrent Gaussian Splatting from an ECCV spotlight paper.
Start at the project page.
Get the official implementation.
Follow the README.
Run the method on your data.
Splats improve over observations.
Top-tier peer-reviewed work.
From the paper authors.
Accessible research code.
Permissive for reuse.
Paper and results online.
Download the official implementation.
git clone https://github.com/cvg/resplat.git
cd resplatSet up the Python environment.
pip install -r requirements.txtFollow the README training steps.
# see README for data prep and launchRecurrent Gaussian Splatting from an ECCV 2026 spotlight, at cvg/resplat.
The model refines splats across repeated observations.
It is research code; follow the README.
Yes. MIT licensed.
Linked from the project page.
Run longsplat locally: [iccv 2025] longsplat: robust unposed 3d gaussian splat.
A utility for eCCV'24 Oral] MVSplat.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
Mesh-in-the-loop Gaussian Splatting from a SIGGRAPH Asia paper.
[ECCV 2024] MVSGaussian: Quick Generalizable Gaussian Splatting Reconstruction
Feed-forward 3D from images: Gaussian splatting meets depth.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.