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ChronoDepth

Depth Estimation
Diffusers
Safetensors
ChronoDepthPipeline
video depth estimation
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  1. README.md +3 -2
README.md CHANGED
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  ---
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- license: mit
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  library_name: diffusers
 
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  pipeline_tag: depth-estimation
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  tags:
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  - video depth estimation
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  ---
 
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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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  ---
 
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  library_name: diffusers
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+ license: mit
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  pipeline_tag: depth-estimation
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  tags:
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  - video depth estimation
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  ---
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+
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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%2Fxdimlab.github.io%2FChronoDepth%2F&up_message=ChronoDepth&up_color=blue&style=flat&logo=timescale&logoColor=%23FFDC0F)](https://xdimlab.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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