| ## V2VBench | |
| V2VBench is the dataset used in the research paper [Diffusion Model-Based Video Editing: A Survey](https://arxiv.org/abs/2407.07111). | |
| V2VBench is designed to benchmark and evaluate diffusion model-based video editing techniques and provides a diverse collection of video samples and corresponding editing tasks, enabling researchers and practitioners to assess the performance of various video editing algorithms. | |
| For detailed instructions on how to use the V2VBench dataset, please refer to our [documentation](https://github.com/wenhao728/awesome-diffusion-v2v/blob/main/doc/README.md). |