metadata
license: apache-2.0
Overview
OmniBench-99 benchmark is published in OmniCreator, 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.
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