Manifold Generalization Provably Proceeds Memorization in Diffusion Models
Manifold Generalization Provably Proceeds Memorization in Diffusion Models explores This paper theoretically explains how diffusion models generalize by capturing data geometry rather than just density estimation, achieving faster rates than full distribution estimation.. Commercial viability score: 2/10 in Diffusion Models.
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