IA 3D
mesh2splat
Fast mesh-to-3D-Gaussian-Splat conversion from EA research.
★ 948 étoilesNOASSERTION
Voir le guide →MILo est un projet de IA 3D open source, créé par Anttwo (Anttwo/MILo sur GitHub). Il compte 528 étoiles sur GitHub et 54 forks, il est publié sous la licence NOASSERTION et a été mis à jour pour la dernière fois sur GitHub le 3 avril 2026.
Mesh-in-the-loop Gaussian Splatting from a SIGGRAPH Asia paper.
Start with the project page overview.
Get the official implementation.
Follow the README for dependencies.
Reproduce splats on your own captures.
Meshes guide the splat optimization.
Peer-reviewed research code.
Aims for geometric consistency.
Code from the paper authors.
Modern 3D vision techniques.
Paper, videos, and docs online.
Download the official implementation.
git clone https://github.com/Anttwo/MILo.git
cd MILoSet up the Python environment per README.
pip install -r requirements.txtFollow the README to train on sample data.
# see README for dataset prep and launch commandThe official code for Mesh-In-the-Loop Gaussian Splatting (SIGGRAPH Asia 2025), at Anttwo/MILo.
Mesh reconstruction guides the splat optimization for better geometry.
It is research code; expect a setup process from the README.
The code is on GitHub; no license is asserted, so check the repo.
Linked from the project page.
Fast mesh-to-3D-Gaussian-Splat conversion from EA research.
A utility for eCCV'24 Oral] MVSplat.
DiffSplat, in Python — built for [iclr 2025] official implementation of "diffsplat: repu.
Cross-vendor 3D Gaussian Splatting trainer: video to splat to mesh.
Recurrent Gaussian Splatting from an ECCV spotlight paper.
Real-time LiDAR-inertial-camera Gaussian Splatting SLAM.
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3D Gaussian Splatting viewer built on Three.js — mark, measure and render with preset LODs.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.