High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks

Peixiang Luo; Jinchao Zhang; Jie Zhou

IJCAI 2022poster4 citations

High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks

Abstract

This paper outlines an automated creation system for Chinese landscape paintings based on generative adversarial networks. The system consists of three cascaded modules: generation, resizing, and super-resolution. The generation module first generates a square-shaped painting, then the resizing module predicts an appropriate aspect ratio for it and performs resizing, and finally the super-resolution module is used to increase the resolution and improve the quality. After training each module with the images we collected from the web, our system can create high-resolution landscape paintings in arbitrary sizes.

Theory and philosophy of arts and creativity in AI systems: Autonomous creative or artistic AIApplication domains: Images and visual arts

BibTeX

@inproceedings{ijcai2022p695,
  title     = {High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks},
  author    = {Luo, Peixiang and Zhang, Jinchao and Zhou, Jie},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {5015--5018},
  year      = {2022},
  month     = {7},
  note      = {AI and Arts - Exhibits},
  doi       = {10.24963/ijcai.2022/695},
  url       = {https://doi.org/10.24963/ijcai.2022/695},
}