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DUSt3R_ViTLarge_BaseDecoder_512_linear

naver / DUSt3R_ViTLarge_BaseDecoder_512_linear

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Total runs: 3.0K
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7-day runs: -118
30-day runs: 517
Model's Last Updated: July 12 2024
image-to-3d

Introduction of DUSt3R_ViTLarge_BaseDecoder_512_linear

Model Details of DUSt3R_ViTLarge_BaseDecoder_512_linear

DUSt3R: Geometric 3D Vision Made Easy 
@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}
}

@misc{dust3r_arxiv23,
      title={DUSt3R: Geometric 3D Vision Made Easy}, 
      author={Shuzhe Wang and Vincent Leroy and Yohann Cabon and Boris Chidlovskii and Jerome Revaud},
      year={2023},
      eprint={2312.14132},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2312.14132}, 
}

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. See section: Our Hyperparameters for details.

Model info

Gihub page: https://github.com/naver/dust3r/ Project page: https://dust3r.europe.naverlabs.com/

Modelname Training resolutions Head Encoder Decoder
DUSt3R_ViTLarge_BaseDecoder_512_linear 512x384, 512x336, 512x288, 512x256, 512x160 Linear ViT-L ViT-B

How to use

First, install dust3r . To load the model: 

from dust3r.model import AsymmetricCroCo3DStereo
import torch

model = AsymmetricCroCo3DStereo.from_pretrained("naver/DUSt3R_ViTLarge_BaseDecoder_512_linear")

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model.to(device)

Runs of naver DUSt3R_ViTLarge_BaseDecoder_512_linear on huggingface.co

3.0K
Total runs
0
24-hour runs
-34
3-day runs
-118
7-day runs
517
30-day runs

More Information About DUSt3R_ViTLarge_BaseDecoder_512_linear huggingface.co Model

More DUSt3R_ViTLarge_BaseDecoder_512_linear license Visit here:

https://choosealicense.com/licenses/cc-by-nc-sa-4.0

DUSt3R_ViTLarge_BaseDecoder_512_linear huggingface.co

DUSt3R_ViTLarge_BaseDecoder_512_linear huggingface.co is an AI model on huggingface.co that provides DUSt3R_ViTLarge_BaseDecoder_512_linear's model effect (), which can be used instantly with this naver DUSt3R_ViTLarge_BaseDecoder_512_linear model. huggingface.co supports a free trial of the DUSt3R_ViTLarge_BaseDecoder_512_linear model, and also provides paid use of the DUSt3R_ViTLarge_BaseDecoder_512_linear. Support call DUSt3R_ViTLarge_BaseDecoder_512_linear model through api, including Node.js, Python, http.

DUSt3R_ViTLarge_BaseDecoder_512_linear huggingface.co Url

https://huggingface.co/naver/DUSt3R_ViTLarge_BaseDecoder_512_linear

naver DUSt3R_ViTLarge_BaseDecoder_512_linear online free

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https://huggingface.co/naver/DUSt3R_ViTLarge_BaseDecoder_512_linear

DUSt3R_ViTLarge_BaseDecoder_512_linear install

DUSt3R_ViTLarge_BaseDecoder_512_linear is an open source model from GitHub that offers a free installation service, and any user can find DUSt3R_ViTLarge_BaseDecoder_512_linear on GitHub to install. At the same time, huggingface.co provides the effect of DUSt3R_ViTLarge_BaseDecoder_512_linear install, users can directly use DUSt3R_ViTLarge_BaseDecoder_512_linear installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

DUSt3R_ViTLarge_BaseDecoder_512_linear install url in huggingface.co:

https://huggingface.co/naver/DUSt3R_ViTLarge_BaseDecoder_512_linear

Url of DUSt3R_ViTLarge_BaseDecoder_512_linear

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