Datasets › DAVIS-Edit

DAVIS-Edit

Introduced by Chang Liu et al. in StableV2V: Stablizing Shape Consistency in Video-to-Video Editing17 Nov 2024 archive 2025-07-28

DAVIS-Edit is a curated testing benchmark for video editing. This dataset contains two evaluation settings, i.e., text- and image-based editing. Besides, it offers two types of annotated for both modalities of prompts, considering the editing scenarios with similar (DAVIS-Edit-S) and changing (DAVIS-Edit-C) shapes, so as to address the shape inconsistency problem in video-to-video editing.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

mit

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • DAVIS-Edit

1 variant name, as the archive lists them.

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