SDT
Utilizing the style-disentangled Transformer (SDT), this technology improves online handwriting generation by distinguishing writer and character styles. It advances beyond traditional RNN-based methods by capturing subtle handwriting style variations, enhancing imitation accuracy. SDT further extends capabilities to offline Chinese handwriting enhancement. Diverse scripts can be explored with preconfigured datasets and pre-trained models, facilitating immediate use. SDT provides a flexible approach to replicating personalized writing styles.
