ZhengPeng7/BiRefNet-portrait

<h1 align="center">Bilateral Reference for High-Resolution Dichotomous Image Segmentation</h1>

<div align='center'> <a href='https://scholar.google.com/citations?user=TZRzWOsAAAAJ' target='blank'><strong>Peng Zheng</strong></a>^1,4,5,6,&thinsp; <a href='https://scholar.google.com/citations?user=0uPb8MMAAAAJ' target='blank'><strong>Dehong Gao</strong></a>²,&thinsp; <a href='https://scholar.google.com/citations?user=kakwJ5QAAAAJ' target='blank'><strong>Deng-Ping Fan</strong></a>^1*,&thinsp; <a href='https://scholar.google.com/citations?user=9cMQrVsAAAAJ' target='blank'><strong>Li Liu</strong></a>³,&thinsp; <a href='https://scholar.google.com/citations?user=qQP6WXIAAAAJ' target='blank'><strong>Jorma Laaksonen</strong></a>⁴,&thinsp; <a href='https://scholar.google.com/citations?user=pw0ZUAAAAJ' target='blank'><strong>Wanli Ouyang</strong></a>⁵,&thinsp; <a href='https://scholar.google.com/citations?user=stFCYOAAAAAJ' target='_blank'><strong>Nicu Sebe</strong></a>⁶ </div>

<div align='center'> ¹Nankai University&ensp; ²Northwestern Polytechnical University&ensp; ³National University of Defense Technology&ensp; ⁴Aalto University&ensp; ⁵Shanghai AI Laboratory&ensp; ⁶University of Trento&ensp; </div>

<div align="center" style="display: flex; justify-content: center; flex-wrap: wrap;"> <a href='https://arxiv.org/pdf/2401.03407'><img src='https://img.shields.io/badge/arXiv-BiRefNet-red'></a>&ensp; <a href='https://drive.google.com/file/d/1aBnJR9lbnC2dm8dqD0-pzP2Cu-U1Xpt/view?usp=drivelink'><img src='https://img.shields.io/badge/中文版-BiRefNet-red'></a>&ensp; <a href='https://www.birefnet.top'><img src='https://img.shields.io/badge/Page-BiRefNet-red'></a>&ensp; <a href='https://drive.google.com/drive/folders/1s2Xe0cjq-2ctnJBR24563yMSCOu4CcxM'><img src='https://img.shields.io/badge/Drive-Stuff-green'></a>&ensp; <a href='LICENSE'><img src='https://img.shields.io/badge/License-MIT-yellow'></a>&ensp; <a href='https://huggingface.co/spaces/ZhengPeng7/BiRefNetdemo'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HF%20Spaces-BiRefNet-blue'></a>&ensp; <a href='https://huggingface.co/ZhengPeng7/BiRefNet'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20HF%20Models-BiRefNet-blue'></a>&ensp; <a href='https://colab.research.google.com/drive/14Dqg7oeBkFEtchaHLNpig2BcdkZEogba?usp=drivelink'><img src='https://img.shields.io/badge/SingleImageInference-F9AB00?style=for-the-badge&logo=googlecolab&color=525252'></a>&ensp; <a href='https://colab.research.google.com/drive/1MaEiBfJ4xIaZZn0DqKrhydHB8X97hNXl#scrollTo=DJ4meUYjia6S'><img src='https://img.shields.io/badge/Inference&Evaluation-F9AB00?style=for-the-badge&logo=googlecolab&color=525252'></a>&ensp; </div>

This repo holds the official weights of BiRefNet for general matting.

Training Sets:

• —P3M-10k (except TE-P3M-500-P)
• —TR-humans

Validation Sets:

• —TE-P3M-500-P

Performance:

Check the main BiRefNet model repo for more info and how to use it: https://huggingface.co/ZhengPeng7/BiRefNet/blob/main/README.md

Also check the GitHub repo of BiRefNet for all things you may want: https://github.com/ZhengPeng7/BiRefNet

Acknowledgement:

• —Many thanks to @fal for their generous support on GPU resources for training this BiRefNet for portrait matting.

Citation

@article{zheng2024birefnet,
  title={Bilateral Reference for High-Resolution Dichotomous Image Segmentation},
  author={Zheng, Peng and Gao, Dehong and Fan, Deng-Ping and Liu, Li and Laaksonen, Jorma and Ouyang, Wanli and Sebe, Nicu},
  journal={CAAI Artificial Intelligence Research},
  volume = {3},
  pages = {9150038},
  year={2024}
}