Handwriting generation

Handwriting generation is a sub-task in the field of computer vision, aiming to generate handwritten images (offline) or handwritten trajectories (online) from given textual data. The goal of this task is to simulate the human writing process to produce visual effects or dynamic trajectories that are highly similar to real handwriting. Handwriting generation not only enables the reproduction of personalized writing styles but also holds significant application value in areas such as digital signature verification, calligraphy creation, and historical document simulation.