Bernini is a unified framework for video generation and editing that combines an MLLM-based semantic planner with a DiT-based renderer.
On video editing, Bernini reaches the first tier among leading closed-source
commercial models. The leaderboard below comes from our self-built arena
platform, where human annotators blindly vote on paired edits and the votes are
aggregated into a Bradley-Terry score and a pairwise win-rate matrix.
📑 Citation
If you use Bernini in your research, please cite:
@article{bernini,
title = {Bernini: Latent Semantic Planning for Video Diffusion},
author = {Chenchen Liu and Junyi Chen and Lei Li and Lu Chi and Mingzhen Sun and Zhuoying Li and Yi Fu and Ruoyu Guo and Yiheng Wu and Ge Bai and Zehuan Yuan},
journal = {arXiv preprint arXiv:2605.22344},
year = {2026}
}
🙏 Acknowledgements
Bernini builds on several outstanding open-source projects:
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