[
  {
    "path": "README.md",
    "content": "# EMO\nEmote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions\n\nLinrui Tian, Qi Wang, Bang Zhang, Liefeng Bo,\n\nInstitute for Intelligent Computing, Alibaba Group\n\n<strong> at European Conference on Computer Vision (ECCV) 2024 </strong>\n\n<a href='https://humanaigc.github.io/emote-portrait-alive/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>\n<a href='https://arxiv.org/abs/2402.17485'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>\n[![YouTube](https://badges.aleen42.com/src/youtube.svg)](https://youtu.be/VlJ71kzcn9Y)\n\n\n \n## Citation\n```\n@misc{tian2024emo,\n      title={EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions}, \n      author={Linrui Tian and Qi Wang and Bang Zhang and Liefeng Bo},\n      year={2024},\n      eprint={2402.17485},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV}\n}\n```\n\n\n\n\n\n\n\n"
  }
]