facebook/map-anything

1---2license: apache-2.03task_categories:4- image-to-3d5- depth-estimation6language:7- en8tags:9- computer-vision10- 3d-reconstruction11- multi-view-stereo12- depth-estimation13- camera-pose14- covisibility15- mapanything16pretty_name: MapAnything Training Metadata Dataset17size_categories:18- 100B<n<1T19---20 21# MapAnything Training Metadata Dataset22 23## Dataset Description24 25This dataset contains pre-computed metadata and covisibility matrices for supporting the [MapAnything codebase](https://github.com/facebookresearch/map-anything). This metadata enables easy reproducible training for feed-forward 3D reconstruction tasks.26 27Please see our [Data Processing README](https://github.com/facebookresearch/map-anything/data_processing/README.md) for more details.28 29## Citation30 31If you use this dataset in your research, please cite our paper:32 33```bibtex34@inproceedings{keetha2026mapanything,35  title={{MapAnything}: Universal Feed-Forward Metric {3D} Reconstruction},36  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},37  booktitle={International Conference on 3D Vision (3DV)},38  year={2026},39  organization={IEEE}40}41```42 43## License44 45The metadata is released under the [Apache 2.0 License](https://github.com/facebookresearch/map-anything/LICENSE).46 47## Links48 49- 🏠 **Project Page**: [https://map-anything.github.io](https://map-anything.github.io)50- 💻 **Code**: [GitHub Repository](https://github.com/facebookresearch/map-anything)51