vufinder/map-anything

Universal Feed-Forward Metric 3D Reconstruction

Public
12 runs

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

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MapAnything: Universal Feed-Forward Metric
3D Reconstruction

PaperarXivProject PageX Thread🤗 Hugging Face Demo

Nikhil Keetha 1, 2, Norman Müller 1, Johannes Schönberger 1, Lorenzo Porzi 1,
Yuchen Zhang 2, Tobias Fischer 1, Arno Knapitsch 1, Duncan Zauss 1, Ethan Weber 1, Nelson Antunes 1, Jonathon Luiten 1, Manuel Lopez-Antequera 1, Samuel Rota Bulò 1, Christian Richardt 1, Deva Ramanan 2, Sebastian Scherer 2, Peter Kontschieder 1,

1) Meta 2) Carnegie Mellon University

Note: This model uses map-anything-apache weights.

@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}
}
Model created
Model updated