Image Segmentation
Transformers
Safetensors
English
layer decomposition
image segmentation
image matting
design
custom_code
Instructions to use cyberagent/layerd-birefnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyberagent/layerd-birefnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="cyberagent/layerd-birefnet", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("cyberagent/layerd-birefnet", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update arXiv link
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README.md
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[](https://arxiv.org/abs/)
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<a href='https://cyberagentailab.github.io/LayerD/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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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.
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The model in this repository is **intended to be used as a part of the original [LayerD github repository](https://github.com/CyberAgentAILab/LayerD)**.
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Please visit https://github.com/CyberAgentAILab/LayerD for more information.
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[](https://arxiv.org/abs/2509.25134)
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<a href='https://cyberagentailab.github.io/LayerD/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
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</div>
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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.
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The model in this repository is **intended to be used as a part of the original [LayerD github repository](https://github.com/CyberAgentAILab/LayerD)**.
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Please visit https://github.com/CyberAgentAILab/LayerD for more information.
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