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- ---
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- license: mit
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+ # ChronoDepth: Learning Temporally Consistent Video Depth from Video Diffusion Priors
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+ This model represents the official checkpoint of the paper titled "Learning Temporally Consistent Video Depth from Video Diffusion Priors".
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+ [![Website](https://img.shields.io/website?url=https%3A%2F%2Fjhaoshao.github.io%2FChronoDepth%2F&up_message=ChronoDepth&up_color=blue&style=flat&logo=timescale&logoColor=%23FFDC0F)](https://jhaoshao.github.io/ChronoDepth/) [![Paper](https://img.shields.io/badge/arXiv-PDF-b31b1b)](https://arxiv.org/abs/2406.01493)[![GitHub](https://img.shields.io/github/stars/jhaoshao/ChronoDepth?style=default&label=GitHub%20★&logo=github)](https://github.com/jhaoshao/ChronoDepth)
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+ [Jiahao Shao*](https://jhaoshao.github.io/), Yuanbo Yang*, Hongyu Zhou, [Youmin Zhang](https://youmi-zym.github.io/), [Yujun Shen](https://shenyujun.github.io/), [Matteo Poggi](https://mattpoggi.github.io/), [Yiyi Liao](https://yiyiliao.github.io/ )
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+ ## 🎓 Citation
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+ Please cite our paper if you find this repository useful:
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+ ```bibtex
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+ @misc{shao2024learning,
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+ title={Learning Temporally Consistent Video Depth from Video Diffusion Priors},
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+ author={Jiahao Shao and Yuanbo Yang and Hongyu Zhou and Youmin Zhang and Yujun Shen and Matteo Poggi and Yiyi Liao},
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+ year={2024},
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+ eprint={2406.01493},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV}
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+ }
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+ ```