GAN

Generator produces limited variety of outputs.

Exact likelihood generative models using invertible transforms.

Controls amount of noise added at each diffusion step.

Diffusion performed in latent space for efficiency.

Model that compresses input into latent space and reconstructs it.

Autoencoder using probabilistic latent variables and KL regularization.