A CycleGAN model that converts the style of English letters to look like Mandarin or Katakana characters

A lot of code was taken from aitorzip/PyTorch-CycleGAN. Although I made it a lot more simpler (with a potential compromise in quality of results).

More results can be seen here.

For both these datasets, I got the best results when discrinimator weights were set to 0.1 (currently set to 0.3 in the code) and batch size was increased to 16. I couldn't go higher with the batch size due to memory issues but it's worth trying.

• Comment out this line to train on Mandarin characters.
• I also tried training on two image sets: real images and stickers. The files named *im2im.py contain the code for it.
• You can run python main.py for training on character sets or python main_im2im.py --/path/to/images1 --/path/to/images2 for training on image sets.