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  # VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing (ICLR 2025)
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- [Github](https://github.com/XiangpengYang/VideoGrain) (⭐ Star our GitHub )
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  [Project Page](https://knightyxp.github.io/VideoGrain_project_page)
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  This is the dataset proposed in our paper [VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing](https://arxiv.org/abs/2502.17258) (ICLR 2025).
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  VideoGrain is a zero-shot method for class-level, instance-level, and part-level video editing.
 
 
 
 
 
 
 
 
 
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  # Directory
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  ```
 
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  # VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing (ICLR 2025)
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+ [Github](https://github.com/knightyxp/VideoGrain) (⭐ Star our GitHub )
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  [Project Page](https://knightyxp.github.io/VideoGrain_project_page)
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  This is the dataset proposed in our paper [VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing](https://arxiv.org/abs/2502.17258) (ICLR 2025).
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  VideoGrain is a zero-shot method for class-level, instance-level, and part-level video editing.
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+ - **Multi-grained Video Editing**
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+ - class-level: Editing objects within the same class (previous SOTA limited to this level)
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+ - instance-level: Editing each individual instance to distinct object
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+ - part-level: Adding new objects or modifying existing attributes at the part-level
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+ - **Training-Free**
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+ - Does not require any training/fine-tuning
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+ - **One-Prompt Multi-region Control & Deep investigations about cross/self attn**
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+ - modulating cross-attn for multi-regions control (visualizations available)
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+ - modulating self-attn for feature decoupling (clustering are available)
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  # Directory
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  ```