arXiv cs.CV
· Papers
LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models
arXiv:2607.26237v1 Announce Type: new Abstract: Pretrained diffusion models generate realistic images but are constrained by the statistical biases of their training data, limiting their ability to produce high dynamic range (HDR) content. In this work, we introduce LumaGuide, a training-free framework for distribution