BiRefNet is a computer vision research project proposing a bilateral reference framework for segmenting high-resolution images with precise object boundaries. The model handles dichotomous image segmentation, distinguishing foreground objects from complex backgrounds. Published in CAAI AIR'24, the repository provides model implementations, training code, and pre-trained weights for academic use.