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UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries

School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen
Great Bay University
Macau Polytechnic University
*Corresponding author
arXiv

🔥 If you find this work useful for your research, please kindly cite our paper and star our repo.

🔥 Introduction

This is the github repository of UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries. In this work, we introduce UniEmo, a unified framework that synergistically integrates emotional understanding and generation through a hierarchical understanding chain and dual generation‑driven feedback. The whole framework of UniEmo:

🔥 Details will be released. Stay tuned.

📝 Citation

@misc{zhu2025uniemounifyingemotionalunderstanding,
      title={UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries}, 
      author={Yijie Zhu and Lingsen Zhang and Zitong Yu and Rui Shao and Tao Tan and Liqiang Nie},
      year={2025},
      eprint={2507.23372},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2507.23372}, 
}

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