3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in text-to-video-editing-16
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Use these libraries to find text-to-video-editing-16 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 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.
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.
Adding a benchmark result helps the community track progress.