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A Systematic Alignment Framework for High-Fidelity, Controllable, and Robust Video Generation.

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TeleBoost

TeleBoost: A Systematic Alignment Framework for High-Fidelity, Controllable, and Robust Video Generation

  • Paper: https://arxiv.org/abs/2602.07595
  • Project Page: (this repository via GitHub Pages)
  • Code: Coming soon

Authors

Yuanzhi Liang, Xuan'er Wu, Yirui Liu, Yijie Fang, Yizhen Fan, Ke Hao, Rui Li, Ruiying Liu, Ziqi Ni, Peng Yu, Yanbo Wang, Haibin Huang, Qizhen Weng, Chi Zhang, Xuelong Li
Institute of Artificial Intelligence, China Telecom (TeleAI)

Citation

@article{teleboost2026,
  title={TeleBoost: A Systematic Alignment Framework for High-Fidelity, Controllable, and Robust Video Generation},
  author={Yuanzhi Liang and Xuan'er Wu and Yirui Liu and Yijie Fang and Yizhen Fan and Ke Hao and Rui Li and Ruiying Liu and Ziqi Ni and Peng Yu and Yanbo Wang and Haibin Huang and Qizhen Weng and Chi Zhang and Xuelong Li},
  journal={arXiv preprint arXiv:2602.07595},
  year={2026}
}

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