Google Research Investigates the Source of Diffusion Model Creativity
rishabh16_ · x · 2026-07-16
Google Research discussed where the "creativity" in diffusion models comes from—specifically, why models can generate novel data rather than simply memorizing their training sets. They concluded that this is a mathematical outcome resulting from the **score smoothing** and **interpolation** brought about by neural network regularization. The research blog further explained this mechanism, drawing a clear distinction between "generating new samples" and "memorizing existing ones."
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