Some interesting method like style transfer, GAN, deep neural networks for Chinese character and calligraphic image processing
|Loss||Test accuracy||Confusion matrix|
Content image dataset: http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_img_val.tar
The method of this application, we just simply use pix2pix to generate another style of Chinese character.
Dataset: https://pan.baidu.com/s/1JagVbA8p-Bn5OnoOErJAyQ extract code: 2vku
These great calligraphy works are written by my teacher Prof. Zhang.
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. Style transfer for calligraphic image: https://github.com/MingtaoGuo/Conditional-Instance-Norm-for-n-Style-Transfer
. Calligraphic image denoising: https://github.com/MingtaoGuo/Calligraphic-Images-Denoising-by-GAN