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  # VIVID-10M
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- [\[project page\]](https://kwaivgi.github.io/VIVID/) | [\[Paper\]](https://huggingface.co/papers/2411.15260) | [\[arXiv\]](https://arxiv.org/abs/2411.15260)
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  VIVID-10M is the first large-scale hybrid image-video local editing dataset aimed at reducing data construction and model training costs, comprising 9.7M samples that encompass a wide range of video editing tasks.
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  # VIVID-10M
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+ [\[project page\]](https://klingteam.github.io/VIVID/) | [\[Paper\]](https://huggingface.co/papers/2411.15260) | [\[arXiv\]](https://arxiv.org/abs/2411.15260)
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  VIVID-10M is the first large-scale hybrid image-video local editing dataset aimed at reducing data construction and model training costs, comprising 9.7M samples that encompass a wide range of video editing tasks.
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