# Background removal

MODNet is a real-time trimap-free portrait matting model capable of efficient image segmentation and background removal.

BiRefNet is a model for high-resolution binary image segmentation, particularly skilled in anime segmentation and background removal tasks.

BiRefNet is an advanced model for high-resolution binary image segmentation, particularly adept at 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.

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.

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