Graikos et al.
Denoiser Jacobian spectrum links to generative model quality and enables targeted improvements
Graikos et al. show that larger eigenvalues in the denoiser Jacobian correlate with better generation and that regularizing this spectrum directly boosts ImageNet synthesis.
Big Tech
Alexandros Graikos · Nebojsa Jojic · Dimitris Samaras
Stony Brook University · Microsoft Research
Research Digest··2 min read
The authors analyze the Jacobian of denoising networks in diffusion and flow-matching models, finding that models with larger principal eigenvalues perform better at generating images.
Why this paper
From Microsoft Research and Stony Brook University
In one line
Better generative denoisers have larger principal Jacobian eigenvalues, and regularizing those responses while suppressing noisy directions improves generation quality.
What we could check
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