facebook/map-anything

MapAnything Training Metadata Dataset

Dataset Description

This dataset contains pre-computed metadata and covisibility matrices for supporting the MapAnything codebase. This metadata enables easy reproducible training for feed-forward 3D reconstruction tasks.

Please see our Data Processing README for more details.

Citation

If you use this dataset in your research, please cite our paper:

@inproceedings{keetha2026mapanything,
  title={{MapAnything}: Universal Feed-Forward Metric {3D} Reconstruction},
  author={Nikhil Keetha and Norman M\"{u}ller and Johannes Sch\"{o}nberger and Lorenzo Porzi and Yuchen Zhang and Tobias Fischer and Arno Knapitsch and Duncan Zauss and Ethan Weber and Nelson Antunes and Jonathon Luiten and Manuel Lopez-Antequera and Samuel Rota Bul\`{o} and Christian Richardt and Deva Ramanan and Sebastian Scherer and Peter Kontschieder},
  booktitle={International Conference on 3D Vision (3DV)},
  year={2026},
  organization={IEEE}
}

License

The metadata is released under the Apache 2.0 License.

Links

• 🏠 Project Page: https://map-anything.github.io
• 💻 Code: GitHub Repository