Generating abstract paintings in Kandinsky style

  • Authors:
  • Kang Zhang;Jinhui Yu

  • Affiliations:
  • University of Texas at Dallas, Richardson, TX;Zhejiang University, Hangzhou, P. R. China

  • Venue:
  • SIGGRAPH Asia 2013 Art Gallery
  • Year:
  • 2013

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Abstract

This paper presents a recent project on automatic generation of Kandinsky style of abstract paintings using the programming language Processing. It first offers an analysis of Kandinsky's paintings based on his art theories and the author's own understanding and observation. The generation process is described in details and sample generated images styled on four of Kandinsky's paintings are also demonstrated and discussed. Our approach is highly scalable, limited only by the memory space set in Processing. Using random generation, every styled image generated can be unique. A selection of the images generated in the required resolution is also submitted and 70 images are made into a video companion.