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Style Transfer using CycleGAN on 17flowers dataset

Dataset

  • dataset: 17flowers
  • Image A: Pansy flower (image_1281 to image_1360)
  • Image B: Tigerlily flower (image_0481 to image_0560)

Results

Visualising base styles (using noise as input)

Noise to Flower

Flower A to Flower B

Noise to Flower

Pansy to Tigerlily style transfer recursively

Pansy to Tigerlily overtime

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Neural style transfer using CycleGANs in PyTorch

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MIT license
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