absorb.md

Classifier Guidance

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paper · 2026-06-12
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“We have applied guidance at noisy images not on predicted noise like most diffusion models. Starting from a pretrained conditional diffusion model and classifier on ImageNet, we modify the guided reverse dynamics by steering trajectories toward low-confidence regions via the modified classifier gradient, and at each time step, we also guide the sampling process toward the predicted real image.”

Sampling-Time Guidance for Enhanced Low-Density Exploration in Diffusion Models ↗