Awesome
Outfit Anyone
OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person
Institute for Intelligent Computing, Alibaba Group
Ke Sun, Jian Cao, Qi Wang, Linrui Tian, Xindi Zhang, Lian Zhuo, Bang Zhang, Liefeng Bo, Daiheng Gao
<a href='[https://humanaigc.github.io/animate-anyone/](https://humanaigc.github.io/outfit-anyone/)'><img src='https://img.shields.io/badge/Project-Page-Green'></a> <a href='https://arxiv.org/pdf/2407.16224.pdf'><img src='https://img.shields.io/badge/Paper-Arxiv-red'></a>
<span style="color:red"> News</span>: Now you can try out OutfitAnyone v0.9 on <a href = "https://modelscope.cn/studios/DAMOXR/OutfitAnyone">ModelScope 魔搭</a> ( for Chinese users ) . Enjoy it and have fun!
<font color='red'>News:</font> The experience demo of OutfitAnyone v0.9 is now available on <a href = 'https://huggingface.co/spaces/HumanAIGC/OutfitAnyone' >Hugging Face</a>. <a href="https://huggingface.co/spaces/HumanAIGC/OutfitAnyone" style='padding-left: 0.5rem;'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-OutfitAnyone-orange'></a>
To prevent the malicious use of personal photos, we have currently limited our feature to only allow the upload of clothing images. All models displayed are pre-set and generated using our AI model to ensure safety and privacy.
Feel free to enjoy OutfitAnyone and share your interesting results with us. If you have any questions or suggestions, don't hesitate to leave a message in the issues section.
<font color='red'>Note: Please don't forget to give us a star if you like this project. Thanks!</font> :stuck_out_tongue_winking_eye:
<a href='https://humanaigc.github.io/outfit-anyone/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
Citation
@article{sun2024outfitanyone,
title={OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person},
author={Sun, Ke and Cao, Jian and Wang, Qi and Tian, Linrui and Zhang, Xindi and Zhuo, Lian and Zhang, Bang and Bo, Liefeng and Zhou, Wenbo and Zhang, Weiming and Daiheng Gao},
journal={arXiv preprint arXiv:2407.16224},
year={2024}
}