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README.md

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 pretty_name: MateiralMotion
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 - 100B<n<1T
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+---
+
+
+# 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.
+
+---