# High-resolution image segmentation

BiRefNet is a bilateral reference framework model for high-resolution binary image segmentation, focusing on tasks such as background removal and mask generation, supporting image processing at resolutions of 2048x2048 and above.

BiRefNet is a deep learning model for high-resolution binary image segmentation, focusing on background removal and mask generation tasks.

BiRefNet is a bilateral reference framework model for high-resolution binary image segmentation, focusing on background removal and mask generation tasks.

BiRefNet is a deep learning model for high-resolution binary image segmentation, capable of precisely separating foreground objects from the background.

BiRefNet is a deep learning model for high-resolution binary image segmentation, achieving precise image segmentation through a bilateral reference mechanism.

BiRefNet is a deep learning model for high-resolution binary image segmentation, achieving precise image segmentation through a bilateral reference mechanism.

A bilateral reference framework for high-resolution binary image segmentation, focusing on background removal and mask generation tasks

BiRefNet is a high-resolution binary image segmentation model that employs a bilateral reference framework and delivers excellent performance across multiple image segmentation tasks.

BiRefNet is a high-resolution binary image segmentation model based on bilateral reference, specifically designed for background removal and mask generation tasks.

High-resolution binary image segmentation model based on bilateral reference, focusing on salient object detection and background removal tasks

BiRefNet is a deep learning model for high-resolution binary image segmentation, focusing on background removal and mask generation tasks.

A bilateral reference framework for high-resolution binary image segmentation, focusing on background removal and mask generation tasks

BiRefNet is a high-resolution binary image segmentation model that employs a bilateral reference framework and demonstrates excellent performance across multiple image segmentation tasks.

BiRefNet is a deep learning model for high-resolution binary image segmentation, which achieves accurate image segmentation through a bilateral reference network.

BiRefNet is a deep learning model for high-resolution binary image segmentation, particularly skilled in background removal and mask generation.

BiRefNet is a high-resolution binary image segmentation model, focusing on background removal and mask generation tasks.

An improved direct segmentation any model based on the Segformer architecture, designed for boundary detection and image segmentation tasks