AI RESEARCH
CFG-Ctrl: Control-Based Classifier-Free Diffusion Guidance
arXiv CS.LG
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ArXi:2603.03281v2 Announce Type: replace-cross Classifier-Free Guidance (CFG) has emerged as a central approach for enhancing semantic alignment in flow-based diffusion models. In this paper, we explore a unified framework called CFG-Ctrl, which reinterprets CFG as a control applied to the first-order continuous-time generative flow, using the conditional-unconditional discrepancy as an error signal to adjust the velocity field.