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Image Style Transfer Method Based on CycleGAN

  • Jinsu Liang,
  • Xun Chen

摘要

With the widespread application of deep learning, the research on image style transfer technology has made significant progress. Since CycleGAN does not require a matching dataset, this paper uses the CycleGAN network for image style transfer and conducts experiments on real datasets. The experimental results show that the CycleGAN algorithm can achieve good image style conversion.