ICCV 2023 Paper:
Stefano Gasperini*, Nils Morbitzer*, HyunJun Jung, Nassir Navab, Federico Tombari
Technical University of Munich, VisualAIs, Google
* equal contribution
---------------------------------------------------------
Please fill in the form below with your contact information to download the data associated with our ICCV 2023 paper. After you submit the form, you will immediately get a link to download the data.
> Data Description
The data contains the translated images corresponding to the sunny and cloudy samples of nuScenes and RobotCar. Specifically, for nuScenes we provide 1
night and 1 rainy (i.e.,
day-rain) images for each sunny or cloudy sample (
day-clear), while for the Oxford RobotCar dataset, we provide 1
night image for every
day one of the dataset. Additional details can be found in the
GitHub repository and
our paper.
> License
Please consider that we release the data with the following license: Attribution-NonCommercial-ShareAlike 4.0 International (
CC BY-NC-SA 4.0). Briefly, this means that its use must be associated with properly citing our work (Attribution), it cannot be used for commercial purposes (NonCommercial), and derivatives/extensions of it must be shared publicly with the same license (ShareAlike).
> Commercial Use
Due to the restrictions imposed by the licenses of the nuScenes and RobotCar datasets, this derivative data cannot be used for commercial purposes. However, we can provide commercial licenses for our source code. If you are interested, please get in touch with us.
> Purpose of this Form
This form collects the contact information of people interested in this data, so we can contact them in case of any updates. We use this form also to assess the interest of the community in such data. If you wish to have your information deleted from our files, please write us an email.
> Waiver
This data comes as is and was generated by a neural network. The authors are not responsible for the content of the images.
> Citation
When using this data in your work, please cite it with the following BibTeX information:
@inproceedings{gasperini_morbitzer2023md4all,
title={Robust Monocular Depth Estimation under Challenging Conditions},
author={Gasperini, Stefano and Morbitzer, Nils and Jung, HyunJun and Navab, Nassir and Tombari, Federico},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
year={2023},
pages={8177-8186}
}
