#Matting

The BiRefNet project enhances image segmentation using bilateral reference techniques, delivering cutting-edge performance in areas such as dichotomous segmentation, camouflaged detection, and salient object identification. It features models for high-resolution input and custom data fine-tuning. Explore demos on Hugging Face and Google Colab. Collaborative efforts are sought for GPU resources to further project advancements, especially for matting tasks.