Can We Change the Stroke Size for Easier Diffusion?

Title:Can We Change the Stroke Size for Easier Diffusion?

Abstract:Diffusion models can be challenged in the low signal-to-noise regime, where they have to make pixel-level predictions despite the presence of high noise. The geometric intuition is akin to using the finest stroke for oil painting throughout, which may be ineffective. We therefore study \emph{stroke-size control} as a controlled intervention that changes the roughness of the supervised target, predictions and perturbations across timesteps, in an attempt to ease the low signal-to-noise challenge via prediction target simplification.

Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)

arXiv:2603.26783 [cs.CV]

(or arXiv:2603.26783v3 [cs.CV] for this version)

https://doi.org/10.48550/arXiv.2603.26783 Focus to learn more arXiv-issued DOI via DataCite

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