Birefnet Lite Matting

🚀 BiRefNet

BiRefNet is a model designed for high - resolution dichotomous image segmentation. It can be applied in various fields such as anime segmentation, background removal, and salient object detection.

🚀 Quick Start

This repo holds the official weights of BiRefNet for general matting.

Training Sets

• P3M - 10k (except TE - P3M - 500 - NP)
• TR - humans
• AM - 2k
• AIM - 500
• Human - 2k (synthesized with BG - 20k)
• Distinctions - 646 (synthesized with BG - 20k)
• HIM2K
• PPM - 100

Validation Sets

• TE - P3M - 500 - NP

Performance

Check the main BiRefNet_lite model repo for more info and how to use it:
https://huggingface.co/ZhengPeng7/BiRefNet_lite/blob/main/README.md

Also check the GitHub repo of BiRefNet for all things you may want:
https://github.com/ZhengPeng7/BiRefNet

✨ Features

• Multiple Applications: Suitable for anime segmentation, background removal, mask generation, dichotomous image segmentation, and salient object detection.
• High - Performance: Achieves excellent results on multiple datasets as shown in the performance table.

📄 License

This project is licensed under the MIT license.

Citation

@article{zheng2024birefnet,
  title={Bilateral Reference for High-Resolution Dichotomous Image Segmentation},
  author={Zheng, Peng and Gao, Dehong and Fan, Deng-Ping and Liu, Li and Laaksonen, Jorma and Ouyang, Wanli and Sebe, Nicu},
  journal={CAAI Artificial Intelligence Research},
  volume = {3},
  pages = {9150038},
  year={2024}
}