Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation: A Unified Approach

A novel method for generating generic spatio-temporal pseudo-anomalies by inpainting masked regions using a pre-trained latent diffusion model and perturbing optical flow using mixup. This unified framework measures reconstruction quality, temporal irregularity, and semantic inconsistency to effectively detect real-world anomalies.