A gradient-free diffusion sampler that selects a reference class from a pretrained classifier's predictions and adapts guidance strength improves class-conditional fidelity, but its Precision gains are measured with the same classifier used for guidance.
Diffusion models beat GANs on image synthesis
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Gradient-Free Classifier Guidance for Diffusion Model Sampling
A gradient-free diffusion sampler that selects a reference class from a pretrained classifier's predictions and adapts guidance strength improves class-conditional fidelity, but its Precision gains are measured with the same classifier used for guidance.