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XingZi

Xingzi - Tensorflow 2 Implementation (2018 International Joint Conference on Neural Networks (IJCNN))

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Intruduction

This is the implementation of paper "Generating Chinese Typographic and Handwriting Fonts from a Small Font Sample Set" accepted by 2018 International Joint Conference on Neural Networks (IJCNN)
The purpose of the paper is to generate Chinese calligraphy cahracters.

Environments

Tensorflow: 2.9.1
Keras: 2.9.0
Datasets: Custom, please refer to the "datasets" folder.

References

Paper: Generating Chinese Typographic and Handwriting Fonts from a Small Font Sample Set
Rewrite: Rewrite-tf-keras - An unofficial implementation, which is also to generate Chinese calligraphy cahracters

Disclaimer

An unofficail implementation, please refer to the original paper.

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Neural Style Transfer For Chinese Characters, implemented in Tensorflow 2, with custom dataset.

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