AI RESEARCH
CASHG: Context-Aware Stylized Online Handwriting Generation
arXiv CS.LG
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ArXi:2604.02103v1 Announce Type: cross Online handwriting represents strokes as time-ordered trajectories, which makes handwritten content easier to transform and reuse in a wide range of applications. However, generating natural sentence-level online handwriting that faithfully reflects a writer's style remains challenging, since sentence synthesis demands context-dependent characters with stroke continuity and spacing.