CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing
The quality and diversity of instruction-based video editing datasets are steadily improving, yet existing datasets mainly focus on single editing operations and fall short in supporting compositional instruction-guided video editing. In particular, multiple editing intents must be jointly understood and faithfully executed within the same video. To address this issue, we introduce CoinVE-200K, a large-scale, high-quality dataset for Compositional Instruction-Guided Video Editing. CoinVE-200K contains 1080p video-editing pairs of up to 201 frames, covering diverse compositional scenarios where each sample involves 2 to 5 atomic editing operations. The instructions target humans, objects, ...
| Authors | Fuchen Long, Cong Wang, Zitao Gao et al. |
|---|---|
| Primary category | cs.CV |
| Published | 18 August 2026 |
| Last updated at source | 25 August 2026 |
Connected in the knowledge graph
- FireCRT/CoinVE-200KDataset · cited by
- FireCRT/CoinVE-BenchDataset · cited by
Models and datasets referencing this paper
- FireCRT/CoinVE-200KDataset
- FireCRT/CoinVE-BenchDataset
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