Post
1194
bumped into one of the OG reads today!! handwriting generation & synthesis is still my favorite application of RNNs - supper amazed at how such a small model (3.6M params), trained overnight on cpu could reach such peak performance. Huge credit to the data (IAM-OnDB🔥) which was meticulously curated using an infra-red device to track pen position.
Try demo here: https://www.calligrapher.ai/
Code: https://github.com/sjvasquez/handwriting-synthesis
Try demo here: https://www.calligrapher.ai/
Code: https://github.com/sjvasquez/handwriting-synthesis