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 (Best Paper Finalist): 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
- [Jun. 13, 2021] Our "Learning to Recover 3D Scene Shape from a Single Image" work is in the CVPR'21 Best Paper Finalist.
- [Jun. 6, 2021] We have made the training data of DiverseDepth available.
- 3D Scene Shape
You may want to check this video which provides a very brief introduction to the work:
RGB | Depth | Point Cloud |
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- DiverseDepth
Results examples.
DiverseDepth dataset examples.
@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}
}
@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}
}
Wei Yin: [email protected]
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.