[2603.26783] Can We Change the Stroke Size for Easier Diffusion?

Computer Science > Computer Vision and Pattern Recognition arXiv:2603.26783 (cs) [Submitted on 25 Mar 2026] Title:Can We Change the Stroke Size for Easier Diffusion? Authors:Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen View a PDF of the paper titled Can We Change the Stroke Size for Easier Diffusion?, by Yunwei Bai and 3 other authors View PDF HTML (experimental) 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 stroke-size control as a controlled intervention that changes the effective roughness of the supervised target, predictions and perturbations across timesteps, in an attempt to ease the low signal-to-noise challenge. We analyze the advantages and trade-offs of the intervention both theoretically and empirically. Code will be released. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI) Cite as: arXiv:2603.26783 [cs.CV]   (or arXiv:2603.26783v1 [cs.CV] for this version)   https://doi.org/10.48550/arXiv.2603.26783 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yunwei Bai [view email] [v1] Wed, 25 Mar 2026 06:03:14 UTC (4,208 KB) Full-text links: Access Paper: View a PDF of the paper titled Can We Change the Stroke Size for Easier Diff...