DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.
Hi! In the appendix there is a chapter about Adding Semantics, but I haven't found any codes related to this chapter. Could you please upload the codes? Thanks!
Hi! In the appendix there is a chapter about Adding Semantics, but I haven't found any codes related to this chapter. Could you please upload the codes? Thanks!