Datasets:
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
video editing
Multi grained Video Editing
text-to-video
Pika
video generation
Video Generative Model Evaluation
License:
Update README.md
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README.md
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# VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing (ICLR 2025)
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[Github](https://github.com/
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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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```
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