vufinder/vggt-1b-depth

Feed-forward neural network that directly infers all key 3D attributes of a scene.

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VGGT: Visual Geometry Grounded Transformer

Visual Geometry Group, University of Oxford; Meta AI

Jianyuan Wang, Minghao Chen, Nikita Karaev, Andrea Vedaldi, Christian Rupprecht, David Novotny

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@inproceedings{wang2025vggt,
  title={VGGT: Visual Geometry Grounded Transformer},
  author={Wang, Jianyuan and Chen, Minghao and Karaev, Nikita and Vedaldi, Andrea and Rupprecht, Christian and Novotny, David},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2025}
}

Note: This model uses VGGT-1B-Commercial weights.

Description

This model version omits the point map head that is redundant with the depth head.

Model output

Model returns an object with attributes:

  • point_cloud (optional): a URL to GLB file that contains point cloud and meshes that represent cameras.

  • depth_images (optional): a list of URLs to depth images.

  • data: a list of URLs to JSON files that contains raw model output per image, attributes: image, pose_enc, depth, depth_conf.