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README.md

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+---
+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}
+}
+```