AdelaideDepth is an open source toolbox for monocular depth prediction. All works from our group are open-sourced here.
AdelaideDepth contains the following algorithms:
- LeReS: Learning to Recover 3D Scene Shape from a Single Image (CVPR2021)
- DiverseDepth: DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
- Virtual Normal: Enforcing geometric constraints of virtual normal for depth prediction (ICCV2019)
- LeReS You may want to check this video which provides a very brief introduction to the work:
RGB | Depth | Point Cloud |
@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}
}