---
language: en
license: apache-2.0
pipeline_tag: image-segmentation
library_name: transformers
tags:
- layer decomposition
- image segmentation
- image matting
- design
---

## LayerD BiRefNet Matting Module

<div align="left">

[![arxiv paper](https://img.shields.io/badge/arxiv-paper-orange)](https://arxiv.org/abs/2509.25134)
<a href='https://cyberagentailab.github.io/LayerD/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>

</div>

This repository contains the code and model weights for the matting module in [LayerD [ICCV'25]](https://arxiv.org/abs/2509.25134), a layer decomposition framework for graphic design images.
The model in this repository is **intended to be used as a part of the original [LayerD github repository](https://github.com/CyberAgentAILab/LayerD)**.
Please visit https://github.com/CyberAgentAILab/LayerD for more information.

![teaser](./teaser.png)

The model architecture code is based on the [BiRefNet repository](https://huggingface.co/ZhengPeng7/BiRefNet). We thank the authors for releasing their high-quality matting model.

### Usage

This repository is intended for use with LayerD, so we recommend following the instructions in the [LayerD repository](https://github.com/CyberAgentAILab/LayerD).

For reference, the original LayerD uses this model as follows:

```python
from transformers import AutoModelForImageSegmentation
birefnet = AutoModelForImageSegmentation.from_pretrained('cyberagent/layerd-birefnet', trust_remote_code=True)
```

### License

This repository is released under the Apache-2.0 license, the same as [the LayerD repository](https://github.com/CyberAgentAILab/LayerD/blob/main/LICENSE).
The original BiRefNet is released under the [MIT license](https://huggingface.co/ZhengPeng7/BiRefNet/blob/main/README.md).

### Citation

```bibtex
@inproceedings{suzuki2025layerd,
  title={LayerD: Decomposing Raster Graphic Designs into Layers},
  author={Suzuki, Tomoyuki and Liu, Kang-Jun and Inoue, Naoto and Yamaguchi, Kota},
  booktitle={ICCV},
  year={2025}
}
```