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---
license: apache-2.0
---
<!-- # OmniBench-99 -->
## Overview
OmniBench-99 benchmark is published in [OmniCreator](https://haroldchen19.github.io/OmniCreator-Page/), containing 99 videos with varied contents (*i.e.*, Environment, Human/Animal, and Object), designed to offer a comprehensive platform
for evaluating generative video editing, focusing on both editing **types** and **scenarios**.
[Paper Link](https://arxiv.org/abs/2412.02114)
[Project Page](https://haroldchen19.github.io/OmniCreator-Page/)
## Dataset Structure
Unlike previous benchmarks that evaluate only four editing types, **OmniBench-99** expands the scope to include both editing types and scenarios. Specifically:
* *Environment*: Scenarios are developed for **Background**, **Weather**, and **Time** edits.
* *Object*: Scenarios are created for **Addition**, **Removal**, and **Replacement** edits.
* *Human/Animal*: Scenarios are designed for **Appearance** and **Motion/Pose** edits.
## Citation
```
@article{chen2024omnicreator,
title={OmniCreator: Self-Supervised Unified Generation with Universal Editing},
author={Chen, Haodong and Wang, Lan and Yang, Harry and Lim, Ser-Nam},
journal={arXiv preprint arXiv:2412.02114},
year={2024}
}
```
## Dataset Card Contact
Haodong Chen's email: [[email protected]](mailto:[email protected])