This essay has been accepted!

Any questions can contact wym_datas@163.com.

Looking forward to any friendly exchanges and cooperation.

This code repository is the official implementation of the paper "DCC: Dynamic Category Compression for Enhanced Handwritten Text Generation".

Our proposed method is generic and effective, and theoretically can be seamlessly integrated into existing HTG methods.

For the relevant code, please check the network section of the corresponding method on your own.

The latest SOTA model will be released after the paper is received.

FID：

https://github.com/mseitzer/pytorch-fid

HWD, KID：

https://github.com/aimagelab/HWD

https://github.com/aimagelab/VATr

https://github.com/ankanbhunia/Handwriting-Transformers

https://github.com/omni-us/research-GANwriting

https://github.com/EDM-Research/VATr-pp

https://github.com/lijian16/FCC

Thanks to Kang Lei, Ankan Kumar Bhunia, and Vittorio Pippi for their contributions to the HTG field.