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.