DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection

The authors introduce DISYRE, a method that replaces Gaussian noise corruption with synthetic anomalies to improve unsupervised anomaly detection in medical images. By adapting diffusion models, they achieve superior performance in UAD benchmarks.