README.md

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

## LayerD BiRefNet Matting Module

This repository contains the code and model weights for the matting module in [LayerD [ICCV'25]](https://arxiv.org/abs/), 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.

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}
}
```