Latent Diffusion
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model-intro image diffusion The highly abstract "diffusion" model concept gets one more significant development: wrapping the model inside an autoencoder that translates between the high-dimensional pixel space and a lower-dimensional latent space with semantic properties. Running a diffusion model inside the latent space has theoretical and practical advantages, and the authors of the paper apply that to a range of image-generation problems.