The model architecture code is based on the
BiRefNet repository
. 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
.
For reference, the original LayerD uses this model as follows:
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
.
The original BiRefNet is released under the
MIT license
.
Citation
@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}
}
Runs of cyberagent layerd-birefnet on huggingface.co
4.8K
Total runs
51
24-hour runs
656
3-day runs
666
7-day runs
1.3K
30-day runs
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