Memorization in diffusion models measured by persistence across noise scales

The authors define a critical noise scale that detects duplicated, overfitted, and outlier examples in trained models.

Top University
Cristina López Amado · Marco Fumero · Francesco Locatello

Institute of Science and Technology Austria (ISTA)

Research Digest··2 min read
López Amado et al.

The authors treat each denoiser D_σ of a diffusion model as a self-map x_{k+1}=D_σ(x_k).

Why this paper

From Institute of Science and Technology Austria (ISTA)

In one line

Diffusion models' fixed-scale denoiser dynamics reveal memorization through a critical noise scale.

What we could check

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  • ✓Limitations stated by the authors (2 noted)
  • ·No benchmark numbers found

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