---
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: [haroldchen328@gmail.com](mailto:haroldchen328@gmail.com)