Datasets:
Add task category and links to paper/project/code
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by
nielsr HF Staff - opened
README.md
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# RefVIE-Bench
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## Directory layout
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- `refvie_bench.yaml`
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- `ref_images/background/`
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- `ref_images/subjects/`
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- `source_videos/`
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## Included media
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---
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task_categories:
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- text-to-video
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---
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# RefVIE-Bench
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[**Project Page**](https://showlab.github.io/Kiwi-Edit/) | [**Paper**](https://arxiv.org/abs/2603.02175) | [**GitHub**](https://github.com/showlab/Kiwi-Edit)
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RefVIE-Bench is a comprehensive evaluation benchmark introduced in the paper [Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance](https://arxiv.org/abs/2603.02175). It is specifically designed to assess instruction-reference-following capabilities in video editing models, featuring source videos, reference images (for both subjects and backgrounds), and natural language instructions.
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## Sample Usage
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To run inference on this benchmark using the official Kiwi-Edit framework, you can use the following command:
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```bash
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python infer.py \
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--ckpt_path path_to_ckpt \
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--bench refvie \
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--max_frame 81 \
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--max_pixels 921600 \
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--save_dir ./infer_results/exp_name/
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```
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## Directory layout
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- `refvie_bench.yaml`: Configuration file containing mapping for instructions, reference images, and source videos.
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- `ref_images/background/`: Reference images used for background-guided editing.
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- `ref_images/subjects/`: Reference images used for subject-guided editing.
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- `source_videos/`: The original video sequences.
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## Included media
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