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This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

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AdelaideDepth

AdelaideDepth is an open source toolbox for monocular depth prediction. All works from our group are open-sourced here.

AdelaideDepth contains the following algorithms:

Results:

  • LeReS You may want to check this video which provides a very brief introduction to the work:
RGB Depth Point Cloud

Depth

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}
}

@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}
}

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This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

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