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The first open-source system for large-scale scene reconstruction training and rendering.

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LandMarkSystem

Latest News 🔥

  • [2024/07]: We release LandMarkSystem, which is the first open-source system for large-scale scene reconstruction training and rendering.

💻 About

LandMarkSystem provides a multi-algorithms system for 3D reconstruction tasks in any scale, offering a high degree of flexibility and efficiency through its modular design and advanced parallelization strategies. This system has the potential to significantly advance the state of the art in large-scale scene reconstruction by enabling the deployment of NeRF and 3DGS algorithms in a manner that is both scalable and resource-efficient.

🎨 Support Features

Model Training Rendering
Single GPU Model Parallel Data Parallel Dynamic Loading Single GPU Model Parallel Data Parallel Dynamic Loading Kernel Optimization
GridNeRF - -
InstantNGP - - - -
Nerfacto - - - -
Vanilla GS - -
Scaffold GS - -
Octree GS - -

In the table above, ✅ indicates that the feature is supported in the current version, and ⌛ indicates that the feature will be supported in the next open-source release.

🚀 Quickstart

Please refer to Usage to start installation, training and rendering.

For more details, please check Documentation.

📖Learn More

For more information about the system architecture and training/rendering performance, please refer to our technical report (TBD).

🤝 Authors

The main work comes from the LandMark Team, Shanghai AI Laboratory.

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The first open-source system for large-scale scene reconstruction training and rendering.

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