Medical Imaging, Anomaly Detection, Machine Learning, Machine Learning Models, Diffusion Models.
applications, they’ve begun to plateau. That’s largely because they’re often difficult to train, are prone to mode collapse, and often suffer from a lack of output diversity. Other types of generative models include variational autoencoders (VAE), flow-based models, and autoregressive transformers.