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Hramchenko/modulated_stargan

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StarGAN V2 with Modulated Convolutions

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Experiments on replacing Adaptive Instance Normalization(AdaIN) layers in StarGAN V2 model.

The presented results was obtained in a 24 hours on a single Colab GPU.

For more information see Modifying StarGAN V2 using Modulated Convolutions.

Images generation

For images generation:

  1. Unpack pretrained weights in repository root.
  2. Run generate_images.ipynb file.

Training the model

For images generation see train_colab.ipynb file.

Requirements

  • python;
  • pytorch;
  • torchvision;
  • opencv;
  • munch;
  • kornia;
  • ffmpeg.

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StarGAN V2 with Modulated Convolutions

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