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mast3r
camenduru/mast3r
mast3r is a image-to-3d model from camenduru. Use it for the image-to-3d task on the model card, and read the license before you ship it in a product. It is set up for mast3r.
The code is distributed under the CC BY-NC-SA 4.0 License. See LICENSE for more information. For the checkpoints, make sure to agree to the license of all the public training datasets and base checkpoints we used, in…
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At a glance
- Task
- Image-to-3D
- Library
- mast3r
- Access
- Public
- Created
- Sep 27, 2024
- Updated
- Sep 27, 2024
- SHA
- e6a45f81
Model card
From the Hugging Face model README
Grounding Image Matching in 3D with MASt3R
@misc{mast3r_arxiv24,
title={Grounding Image Matching in 3D with MASt3R},
author={Vincent Leroy and Yohann Cabon and Jerome Revaud},
year={2024},
eprint={2406.09756},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@inproceedings{dust3r_cvpr24,
title={DUSt3R: Geometric 3D Vision Made Easy},
author={Shuzhe Wang and Vincent Leroy and Yohann Cabon and Boris Chidlovskii and Jerome Revaud},
booktitle = {CVPR},
year = {2024}
}
License
The code is distributed under the CC BY-NC-SA 4.0 License. See LICENSE for more information.
For the checkpoints, make sure to agree to the license of all the public training datasets and base checkpoints we used, in addition to CC-BY-NC-SA 4.0.
The mapfree dataset license in particular is very restrictive. For more information, check CHECKPOINTS_NOTICE.
Model info
Gihub page: https://github.com/naver/mast3r/
| Modelname | Training resolutions | Head | Encoder | Decoder |
|---|---|---|---|---|
| MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_nonmetric | 512x384, 512x336, 512x288, 512x256, 512x160 | CatMLP+DPT | ViT-L | ViT-B |
How to use
First, install mast3r. To load the model:
from mast3r.model import AsymmetricMASt3R
import torch
model = AsymmetricMASt3R.from_pretrained("naver/MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt_nonmetric")
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model.to(device)
- Task
- Image-to-3D
- Library
- mast3r
- Created
- Sep 27, 2024
- Updated
- Sep 27, 2024