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Exact likelihood generative models using invertible transforms.

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.

Two-network setup where generator fools a discriminator.