Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection

no code implementations • 7 Dec 2023 • Jongmin Yu, Hyeontaek Oh, Jinhong Yang

With the addition of explicit adversarial learning on data samples, ADDM can learn the semantic characteristics of the data more robustly during training, which achieves a similar data sampling performance with much fewer sampling steps than DDPM.

Denoising Unsupervised Anomaly Detection