Corpus ID: 227247926

A Framework and Dataset for Abstract Art Generation via CalligraphyGAN

@article{Zhuo2020AFA,
  title={A Framework and Dataset for Abstract Art Generation via CalligraphyGAN},
  author={Jinggang Zhuo and Ling Fan and H. Wang},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.00744}
}

Jinggang Zhuo, Ling Fan, H. Wang

Published 2020

Computer Science

ArXiv

With the advancement of deep learning, artificial intelligence (AI) has made many breakthroughs in recent years and achieved superhuman performance in various tasks such as object detection, reading comprehension, and video games. Generative Modeling, such as various Generative Adversarial Networks (GAN) models, has been applied to generate paintings and music. Research in Natural Language Processing (NLP) also had a leap forward in 2018 since the release of the pre-trained contextual neural… CONTINUE READING

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