VAE Variational Autoencoder
Generative model that learns to compress data into a "latent space" and regenerate from it.
Encoder → latent vector → decoder. Different from a classic autoencoder via probabilistic regularisation = a smooth latent space to sample from. A component in Stable Diffusion (encode an image to a pixel-efficient latent, diffuse there, decode back).