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When Kandinsky Met Wu Guanzhong: Ai-Fused Eastern and Western Arts

  • Yu-Ao Wang
  • , Aven-Le Zhou
  • , James She
  • , Kang Zhang*
  • *Corresponding author for this work
  • Hong Kong University of Science and Technology (Guangzhou)
  • The Hong Kong University of Science and Technology (Guangzhou)

Research output: Contribution to journalArticlepeer-review

Abstract

This paper demonstrates the fusion of Kandinsky’s and Wu Guanzhong’s styles using AI, yielding Eastern and Western point-line-plane aesthetics. The authors present a method for blending diverse styles using Stable Diffusion and LoRA and subsequently apply the synthesized hybrid aesthetics in design. The optimized LoRA training workflow enhances the quality and controllability of generated images. The authors enable efficient generation of high-quality artistic images and concept designs through seamless interpolation of trained LoRA model of artists’ styles. This approach exhibits considerable controllability and scalability, serving as a valuable aid in the creative endeavors of artists and designers.
Original languageEnglish
JournalLeonardo
DOIs
Publication statusPublished - 1 Apr 2026
Externally publishedYes

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