HiDream-ai/ReCo-Bench
ReCo-Bench Project Page | Paper | GitHub | ReCo-Data This is the official ReCo-Bench dataset introduced in the paper "Region-Constraint In-Context Generation for Instructional Video Editing". ReCo-Bench is a VLLM-based evaluation benchmark designed to comprehensively and effectively assess video editing quality. Usage After downloading the repository, you can start the evaluation directly by running the following script: bash run_eval_via_gemini.sh… See the full description on the dataset page: https://huggingface.co/datasets/HiDream-ai/ReCo-Bench.
| Author / organization | HiDream-ai |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 676 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 16 December 2025 |
| Last updated at source | 13 May 2026 |
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Recent changes
- 16 Oct 2026 Description: ReCo-Bench Project Page | Paper | GitHub | ReCo-Data This is the official ReCo-Bench dataset introduced in the paper "Region-Constraint In-Context Generation for Instructional Video Editing". ReCo-Bench is a VLLM-based evaluation benchmark → ReCo-Bench Project Page | Paper | GitHub | ReCo-Data This is the official ReCo-Bench dataset introduced in the paper "Region-Constraint In-Context Generation for Instructional Video Editing". ReCo-Bench is a VLLM-based evaluation benchmark
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- HiDream-ai/ReCo-DataDataset
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