IA 3D
mesh2splat
Fast mesh-to-3D-Gaussian-Splat conversion from EA research.
★ 948 estrelasNOASSERTION
Ver o guia →MILo é um projeto de IA 3D de código aberto de Anttwo (Anttwo/MILo no GitHub). Tem 528 estrelas no GitHub e 54 forks, é publicado sob a licença NOASSERTION e foi atualizado pela última vez no GitHub em 3 de abril de 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.
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Real-time LiDAR-inertial-camera Gaussian Splatting SLAM.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.