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How Out-of-Equilibrium Phase Transitions can Seed Pattern Formation in Trained Diffusion Models
Diffusion models generate structure by progressively transforming noise into data, yet the mechanisms underlying this transition remain poorly understood. In this work, we show that pattern formation in trained diffusion models can be explained as an out-of-equilibrium phase transition driven by ins
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