C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis
C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis explores C$^2$FG is a training-free, plug-in method that dynamically adjusts Classifier-Free Guidance strength in diffusion models, improving performance across various generative tasks.. Commercial viability score: 7/10 in Diffusion Models.
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