Jinsu Shin

BoundInk is a writer-conditioned online handwriting generation framework that treats inter-character boundaries (cursive joins, spacing, alignment) as explicit generation targets, modeling predecessor-to-current local transitions with a bigram-aware sliding-window Transformer while injecting sentence context through gated fusion, and it introduces Connectivity and Spacing Metrics (CSM) to directly assess cursive continuity and character/word spacing; across three benchmark-matched settings it improves all applicable boundary-quality measures, reduces normalized DTW by 17.6–47.8%, and is preferred in 78.0–82.6% of valid criterion-wise judgments in blind human evaluation.

BoundInk is a writer-conditioned online handwriting generation framework that treats inter-character boundaries (cursive joins, spacing, alignment) as explicit generation targets, modeling predecessor-to-current local transitions with a bigram-aware sliding-window Transformer while injecting sentence context through gated fusion, and it introduces Connectivity and Spacing Metrics (CSM) to directly assess cursive continuity and character/word spacing; across three benchmark-matched settings it improves all applicable boundary-quality measures, reduces normalized DTW by 17.6–47.8%, and is preferred in 78.0–82.6% of valid criterion-wise judgments in blind human evaluation.