AI RESEARCH
Delta Score Matters! Spatial Adaptive Multi Guidance in Diffusion Models
arXiv CS.CV
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ArXi:2604.26503v1 Announce Type: new Diffusion models have achieved remarkable success in synthesizing complex static and temporal visuals, a breakthrough largely driven by Classifier-Free Guidance (CFG). However, despite its pivotal role in aligning generated content with textual prompts, standard CFG relies on a globally uniform scalar.