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International Conference on Information, Communication and Computing Technology

ICICCT 2020: Information, Communication and Computing Technology pp 222–230Cite as

GANTOON: Creative Cartoons Using Generative Adversarial Network

Part of the Communications in Computer and Information Science book series (CCIS,volume 1170)

Abstract

We propose a methodology for generating creative cartoon art. The system generates cartoon by looking at various existing images of cartoon characters and learning about their posture/animation style. The proposed system is creative in nature as it generates unique cartoon art by deviating from the existing styles learned by the algorithm. We build over Generative Adversarial Networks (GAN) with unsupervised learning, which have shown the ability to learn to generate novel cartoons by simulating a given distribution. The proposed model exhibits an ability to generate cartoons which are creative and novel in design. We have conducted experiments by considering around 12K Tom’s cartoon images for training purposes. The results show that the increase in number of epochs resulted in better classification accuracy. The proposed system generates the character Tom’s cartoons which are novel and we have validated the same by applying Colton’s creativity benchmark.

Keywords

  • Creative art
  • Artificial creativity
  • GAN
  • DCGAN
  • Artificial Intelligence
  • Cartoon

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Author information

Authors and Affiliations

  1. REDX WeSchool, Welingkar Institute of Management Development and Research, Mumbai, India

    Amit Gawade, Rohit Pandharkar & Subodh Deolekar

  2. Research and Business Analytics, Welingkar Institute of Management Development and Research, Mumbai, India

    Subodh Deolekar

Authors
  1. Amit Gawade
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  2. Rohit Pandharkar
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  3. Subodh Deolekar
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Corresponding author

Correspondence to Amit Gawade .

Editor information

Editors and Affiliations

  1. Computer and Information Technology, University of Craiova, Craiova, Romania

    Prof. Costin Badica

  2. Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates

    Panos Liatsis

  3. Department of IT, Jagan Institute of Management Studies, Delhi, India

    Dr. Latika Kharb

  4. Department of IT, Jagan Institute of Management Studies, Delhi, India

    Dr. Deepak Chahal

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Gawade, A., Pandharkar, R., Deolekar, S. (2020). GANTOON: Creative Cartoons Using Generative Adversarial Network. In: Badica, C., Liatsis, P., Kharb, L., Chahal, D. (eds) Information, Communication and Computing Technology. ICICCT 2020. Communications in Computer and Information Science, vol 1170. Springer, Singapore. https://doi.org/10.1007/978-981-15-9671-1_19

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  • DOI: https://doi.org/10.1007/978-981-15-9671-1_19

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