Shypd.aiThe largest open index of AI toolsBiRefNet is an open-source image segmentation tool that provides bilateral reference for high-resolution dichotomous image segmentation. It offers pre-trained models for various tasks like general use, matting, DIS, HRSOD, and COD.
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BiRefNet is an open-source project offering a powerful solution for high-resolution dichotomous image segmentation, as detailed in the CAAI AIR 2024 paper. It provides official implementations and well-trained weights for various tasks, including general image segmentation, matting, Dichotomous Image Segmentation (DIS), High-Resolution Salient Object Detection (HRSOD), and Co-Salient Object Detection (COD). The tool supports dynamic resolution ranges, from 256x256 up to 2304x2304, and demonstrates robust performance across different image sizes. Users can leverage its capabilities through Hugging Face Models for easy integration or explore online demos for inference and evaluation. BiRefNet also supports ONNX conversion for efficient deployment and has been integrated into several third-party applications and frameworks, making it accessible for both researchers and developers.
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