AdelaiDepth

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

AdelaiDepth contains the following algorithms:

• 3DSceneShape: Code, Learning to Recover 3D Scene Shape from a Single Image
• DiverseDepth: Code, DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
• Virtual Normal: Code, Enforcing geometric constraints of virtual normal for depth prediction

Results:

• 3D Scene Shape

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

RGB	Depth	Point Cloud

BibTeX

@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}
}

@article{yin2020diversedepth,
  title={Diversedepth: Affine-invariant depth prediction using diverse data},
  author={Yin, Wei and Wang, Xinlong and Shen, Chunhua and Liu, Yifan and Tian, Zhi and Xu, Songcen and Sun, Changming and Renyin, Dou},
  journal={arXiv preprint arXiv:2002.00569},
  year={2020}
}

@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}
}

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 - see the LICENSE file for details. For commercial use, please contact Chunhua Shen.