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AdelaiDepth

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AdelaiDepth is an open source toolbox for monocular depth prediction. Relevant work from our group is open-sourced here.

AdelaiDepth contains the following algorithms:

News:

Results and Dataset Examples:

  1. 3D Scene Shape

You may want to check this video which provides a very brief introduction to the work:

<table> <tr> <td>RGB</td> <td>Depth</td> <td>Point Cloud</td> </tr> <tr> <td><img src="examples/2-rgb.jpg" height=300></td> <td><img src="examples/2.jpg" height=300></td> <td><img src="examples/2.gif" height=300></td> </tr> </table>

Depth

  1. DiverseDepth

Depth

DiverseDepth dataset

BibTeX

@article{yin2022towards,
  title={Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image},
  author={Yin, Wei and Zhang, Jianming and Wang, Oliver and Niklaus, Simon and Chen, Simon and Liu, Yifan and Shen, Chunhua},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year={2022}
}

@inproceedings{Yin2019enforcing,
  title     = {Enforcing geometric constraints of virtual normal for depth prediction},
  author    = {Yin, Wei and Liu, Yifan and Shen, Chunhua and Yan, Youliang},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  year      = {2019}
}

@inproceedings{Wei2021CVPR,
  title     =  {Learning to Recover 3D Scene Shape from a Single Image},
  author    =  {Wei Yin and Jianming Zhang and Oliver Wang and Simon Niklaus and Long Mai and Simon Chen and Chunhua Shen},
  booktitle =  {Proc. IEEE Conf. Comp. Vis. Patt. Recogn. (CVPR)},
  year      =  {2021}
}

@article{yin2021virtual,
  title   = {Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction},
  author  = {Yin, Wei and Liu, Yifan and Shen, Chunhua},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year    = {2021}
}

License

The 3D Scene Shape code is under a non-commercial license from Adobe Research. See the LICENSE file for details.

Other depth prediction projects are licensed under the 2-clause BSD License for non-commercial use -- see the LICENSE file for details. For commercial use, please contact Chunhua Shen.