Author

Artyom Turevich

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Preprint Aug 2026

Revisiting Classifier-Free Guidance Methods in Latent Diffusion Models

This study studies a family of training-free techniques conceptually rooted in Classifier-Free Guidance, most of which were originally proposed on older U-Net diffusion models and validated using metrics that assess image quality in isolation, without accounting for compositional alignment or semantic correspondence.

A. Sergievskii, Artyom Turevich, Sergey Kastryulin · 0 citations