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Unpaired Image-to-Image Translation through CycleGAN

The term project of COMP511: Computer Vision with Deep Learning in Fall 2022 The CycleGAN model is built based on CycleGAN by Jun-Yan Zhu et al. Training backlogs are available in Weights & Biases.

General architecture of the CYCLEGAN model:

image

The difference between the CycleGAN and base CycleGAN:

Generator:

  • There are nine residual blocks.
  • LeakyReLU is implemented instead of ReLU.

image

Discriminator:

  • Instance normalization is implemented after each convolutional layer.

image