---
title: BiRefNet-HRSOD
canonical_url: "https://www.modelscope.cn/models/freepik/BiRefNet-HRSOD"
md_url: "https://www.modelscope.cn/models/freepik/BiRefNet-HRSOD.md"
repository: freepik/BiRefNet-HRSOD
last_updated: 2026-09-03
license: mit
pipeline_tag: image-segmentation
tasks:
  - image-segmentation
architectures:
  - BiRefNet
parameters: 220.7M
tensor_type:
  - I64
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 108
stars: 0
tags:
  - background-removal
  - mask-generation
  - "Dichotomous Image Segmentation"
  - "Salient Object Detection"
  - pytorch_model_hub_mixin
  - model_hub_mixin
---

# BiRefNet-HRSOD

> BiRefNet-HRSOD - freepik 在 ModelScope 开源的模型。Bilateral Reference for High-Resolution Dichotomous Image Segmentation

freepik/BiRefNet-HRSOD 是 ModelScope 魔搭社区上的 220.7M 参数image-segmentation模型，采用 mit 许可。

- **Repository**: freepik/BiRefNet-HRSOD
- **License**: mit
- **Tasks**: image-segmentation
- **Parameters**: 220.7M
- **Tags**: background-removal, mask-generation, Dichotomous Image Segmentation, Salient Object Detection, pytorch_model_hub_mixin, model_hub_mixin
- **Downloads**: 108
- **Stars**: 0
- **Last updated**: 2026-09-03

Source: https://www.modelscope.cn/models/freepik/BiRefNet-HRSOD

---

<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><sup> 1,4,5,6</sup>,&thinsp;
    <a href='https://scholar.google.com/citations?user=0uPb8MMAAAAJ' target='_blank'><strong>Dehong Gao</strong></a><sup> 2</sup>,&thinsp;
    <a href='https://scholar.google.com/citations?user=kakwJ5QAAAAJ' target='_blank'><strong>Deng-Ping Fan</strong></a><sup> 1*</sup>,&thinsp;
    <a href='https://scholar.google.com/citations?user=9cMQrVsAAAAJ' target='_blank'><strong>Li Liu</strong></a><sup> 3</sup>,&thinsp;
    <a href='https://scholar.google.com/citations?user=qQP6WXIAAAAJ' target='_blank'><strong>Jorma Laaksonen</strong></a><sup> 4</sup>,&thinsp;
    <a href='https://scholar.google.com/citations?user=pw_0Z_UAAAAJ' target='_blank'><strong>Wanli Ouyang</strong></a><sup> 5</sup>,&thinsp;
    <a href='https://scholar.google.com/citations?user=stFCYOAAAAAJ' target='_blank'><strong>Nicu Sebe</strong></a><sup> 6</sup>
</div>

<div align='center'>
    <sup>1 </sup>Nankai University&ensp;  <sup>2 </sup>Northwestern Polytechnical University&ensp;  <sup>3 </sup>National University of Defense Technology&ensp; <sup>4 </sup>Aalto University&ensp;  <sup>5 </sup>Shanghai AI Laboratory&ensp;  <sup>6 </sup>University 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/1aBnJ_R9lbnC2dm8dqD0-pzP2Cu-U1Xpt/view?usp=drive_link'><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/BiRefNet_demo'><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=drive_link'><img src='https://img.shields.io/badge/Single_Image_Inference-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 trained on DUTS/HRSOD/UHRSD for High-Resolution Salient Object Detection (HRSOD) in the original paper.

**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

## 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}
}
```