AI RESEARCH
Guidance for Low-Level Perceptual Editing in Unconditional Diffusion Models
arXiv CS.CV
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ArXi:2605.31162v1 Announce Type: new Unconditional diffusion models offer powerful generative priors, yet steering them toward aesthetically enhanced outputs remains largely unexplored. We show that h-space patching, the dominant paradigm for