1
Nankai University
2
Northwestern Polytechnical University
3
National University of Defense Technology
4
Aalto University
5
Shanghai AI Laboratory
6
University of Trento
This repo holds the official weights of BiRefNet trained on DIS5K-TR for Dichotomous Image Segmentation (DIS) in the original paper.
@article{BiRefNet,
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},
year={2024}
}
Runs of ZhengPeng7 BiRefNet-DIS5K on huggingface.co
10.5K
Total runs
-293
24-hour runs
-33
3-day runs
103
7-day runs
767
30-day runs
More Information About BiRefNet-DIS5K huggingface.co Model
BiRefNet-DIS5K huggingface.co is an AI model on huggingface.co that provides BiRefNet-DIS5K's model effect (), which can be used instantly with this ZhengPeng7 BiRefNet-DIS5K model. huggingface.co supports a free trial of the BiRefNet-DIS5K model, and also provides paid use of the BiRefNet-DIS5K. Support call BiRefNet-DIS5K model through api, including Node.js, Python, http.
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ZhengPeng7 BiRefNet-DIS5K online free url in huggingface.co:
BiRefNet-DIS5K is an open source model from GitHub that offers a free installation service, and any user can find BiRefNet-DIS5K on GitHub to install. At the same time, huggingface.co provides the effect of BiRefNet-DIS5K install, users can directly use BiRefNet-DIS5K installed effect in huggingface.co for debugging and trial. It also supports api for free installation.