Unsupervised Anomaly Detection Using Diffusion Trend Analysis for Display Inspection

Eunwoo Kim, Un Yang, Cheol Lae Roh +1

Reconstruction-based anomaly detection via denoising diffusion model has limitations in determining appropriate noise parameters that can degrade anomalies while preserving normal…