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Handwriting Trajectory Recovery via Autoregressive Ordered Stroke Instance Prediction
Handwriting trajectory recovery aims to infer the dynamic writing process hidden behind a static handwritten image. Since offline handwriting preserves only the final spatial ink pattern, temporal information such as stroke order, writing direction, and pen-tip motion is lost, making recovery inhere
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