3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in text-to-video-editing-22
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Use these libraries to find text-to-video-editing-22 models and implementations
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F FateZero, a zero-shot text-based editing method on real-world videos without per-prompt training or use-specific mask, is proposed, which is the first one to show the ability of zero-shot text-driven video style and local attribute editing from the trained text-to-image model.
This paper presents ControlVideo for text-driven video editing — generating a video that aligns with a given text while preserving the structure of the source video while preserving the structure of the source video.
This study introduces a novel paradigm, Gen-L-Video, capable of extending off-the-shelf short video diffusion models for generating and editing videos comprising hundreds of frames with diverse semantic segments without introducing additional training, all while preserving content consistency.
Adding a benchmark result helps the community track progress.