Prototype-Guided Diffusion Model for Multi-Class Unsupervised Anomaly Detection
P ProtoDiffAD is proposed, a prototype-guided diffusion framework that represents each class using a dictionary of normal prototypes learned via a pretrained variational autoencoder, and Multi-Prototype Guidance (MPG) is introduced, which dynamically aggregates relevant prototypes through attention during denoising, en...