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Some interesting method like style transfer, GAN, deep neural networks for Chinese character and calligraphic image processing

License: MIT License

Python 100.00%

chinese-character-and-calligraphic-image-processing's Introduction

Chinese-Character-and-Calligraphic-Image-Processing

Some interesting method like style transfer, GAN, deep neural networks for Chinese character and calligraphic image processing

1. Classification for 30 different Fonts

Part of the dataset

Fonts classification by GoogLeNet

Loss Test accuracy Confusion matrix

Feature visualizing

2. Style transfer for calligraphic image

Content image dataset: http://www.image-net.org/challenges/LSVRC/2012/nnoupb/ILSVRC2012_img_val.tar

Style fusion

zi2zi

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

3. Calligraphic image denoising

4. Chinese character inpainting

Acknowledgement

These great calligraphy works are written by my teacher Prof. Zhang.

Author

  1. Mingtao Guo 2. Xinran Wen

Reference

[1]. Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2015: 1-9.

[2]. Dumoulin V, Shlens J, Kudlur M. A learned representation for artistic style[J]. Proc. of ICLR, 2017, 2.

[3]. Isola P, Zhu J Y, Zhou T, et al. Image-to-image translation with conditional adversarial networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 1125-1134.

[4]. Johnson J, Alahi A, Fei-Fei L. Perceptual losses for real-time style transfer and super-resolution[C]//European conference on computer vision. Springer, Cham, 2016: 694-711.

Code reference

[1]. Style transfer for calligraphic image: https://github.com/MingtaoGuo/Conditional-Instance-Norm-for-n-Style-Transfer

[2]. zi2zi: https://github.com/MingtaoGuo/DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_BEGAN_ACGAN_PGGAN_TensorFlow

[3]. Calligraphic image denoising: https://github.com/MingtaoGuo/Calligraphic-Images-Denoising-by-GAN

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