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.gitignore

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.DS_Store

README.md

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# PedGen
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# Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels
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<a href="https://arxiv.org/abs/2410.07500"><img src="https://img.shields.io/badge/arXiv-Paper-red"></a>
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<a href="https://genforce.github.io/PedGen"><img src="https://img.shields.io/badge/Project-Page-yellow"></a>
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[![GitHub](https://img.shields.io/github/stars/genforce/PedGen?style=social)](https://github.com/genforce/PedGen)
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[Zhizheng Liu](https://scholar.google.com/citations?user=Asc7j9oAAAAJ&hl=en), [Joe Lin](https://github.com/joe-lin-tech), [Wayne Wyu](https://wywu.github.io/), [Bolei Zhou](https://boleizhou.github.io/)
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<br>
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University of California, Los Angeles
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<br>
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![Teaser](/docs/assets/teaser.jpg)
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## Getting Started
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We plan to release our dataset and code by the end of November 2024, please stay tuned!
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## Contact
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For any questions or discussions, please contact [Zhizheng Liu](https://scholar.google.com/citations?user=Asc7j9oAAAAJ&hl=en) ([email protected]).
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## Reference
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If our work is helpful to your research, please cite the following:
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```bibtex
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@article{liu2024learning,
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title={Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels},
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author={Liu, Zhizheng and Lin, Joe and Wu, Wayne and Zhou, Bolei},
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journal={arXiv preprint arXiv:2410.07500},
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year={2024}
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}
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```

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