Dear author, thank you for your dedication to the open-source community. For this repository, while the model performance is already quite great, the intrinsic property of image sampling make this model fail to accurately capture the foreground at the edge. Some other project has already implement some kind of foreground estimation algorithm, with a really fast one that run on GPU here: ZhengPeng7/BiRefNet#226
It would be great if you can integrate this into the inference pipeline.
Dear author, thank you for your dedication to the open-source community. For this repository, while the model performance is already quite great, the intrinsic property of image sampling make this model fail to accurately capture the foreground at the edge. Some other project has already implement some kind of foreground estimation algorithm, with a really fast one that run on GPU here: ZhengPeng7/BiRefNet#226
It would be great if you can integrate this into the inference pipeline.