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README.md

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 ## 📢 Introduction
 - The proposed style-disentangled Transformer (SDT) generates online handwritings with conditional content and style. 
 - Existing RNN-based methods mainly focus on capturing a person’s overall writing style, neglecting subtle style inconsistencies between characters written by the same person. 
-- In light of this, SDT disentangles the writer-wise and character-wise style representations from individual handwriting samples for enhancing imitation performance.
+- In light of this, SDT disentangles the writer-wise and character-wise style representations from individual handwriting samples for enhancing imitation performance. 
 - We extend SDT and introduce an offline-to-offline framework for improving the generation quality of offline Chinese handwritings.