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---
license: mit
tags:
- motion
- opticalflow
pretty_name: MateiralMotion
size_categories:
- 100B<n<1T
---
# Motion Estimation Datasets
This repository contains multiple datasets for motion estimation used in the paper
**"Machine Learning Modeling for Multi-order Human Visual Motion Perception"**.
## Citation
For use, please cite:
```bibtex
@misc{sun2025machinelearningmodelingmultiorder,
title={Machine Learning Modeling for Multi-order Human Visual Motion Processing},
author={Zitang Sun and Yen-Ju Chen and Yung-Hao Yang and Yuan Li and Shin'ya Nishida},
year={2025},
eprint={2501.12810},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2501.12810},
}
```
## Dataset Sources
- **Human Data:** Our human data are based on the Sintel-Slow and KITTI 2015 datasets.
- **Motion Datasets:** The non-diffuse and diffuse material-based motion datasets are generated using the Kubric pipeline.
- [Kubric](https://github.com/google-research/kubric)
- [KITTI](https://www.cvlibs.net/datasets/kitti/)
- [MPI-Sintel](http://sintel.is.tue.mpg.de/)
- [Sintel-slow](https://www.cvlibs.net/projects/slow_flow/)
- [DAVIS](https://davischallenge.org/)
**Note:** You need to follow the respective licenses and policies for using the above datasets.
---
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