Awesome AI

One of the core challenges in computer vision-based models is the generation of high-quality segmentation masks. Recent advancements in large-scale supervised training have enabled zero-shot segmentation across various image styles. Additionally, unsupervised training has simplified segmentation without the need for extensive annotations. Despite these developments, constructing a computer vision framework capable of segmenting anything in […] The post DiffSeg : Unsupervised Zero-Shot Segmentation using Stable Diffusion appeared first on Unite.AI.