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