The main issue I have with DIS is that creating the labels of my own dataset is super expensive (I think it might be easier to generate the training data using stable diffusion rather than human labelling)
It is related to subpixel labelling. When a line/curve in the foreground is smaller than a pixel you end up having to edit the mask one pixel at a time. The authors of DIS are working on a new dataset and model which should work for my use case.
BTW, I used DIS to create the labels of a batch of 20 images, I manually corrected the labels and used them to fine tune a new model. That worked well but still it took me several hours to edit labels.
I tried using stable diffusion generated labels several weeks ago but I think with controlnet and other advances I should try again.
(My dataset is about 100k images. I probably only need to label about 10k to fine tune DIS).
The main issue I have with DIS is that creating the labels of my own dataset is super expensive (I think it might be easier to generate the training data using stable diffusion rather than human labelling)