PyTorch implementation of CycleGAN
PyTorch implementation of CycleGAN
GAN losses ( : Discriminator A / : Discriminator B : Generator A / : Generator B : Cycle loss A / : Cycle loss B ) |
Generated images (Input / Generated / Reconstructed) |
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Generated images using test data
Horse to Zebra 1st column: Input / 2nd column: Generated / 3rd column: Reconstructed |
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Zebra to Horse 1st column: Input / 2nd column: Generated / 3rd column: Reconstructed |
GAN losses ( : Discriminator A / : Discriminator B : Generator A / : Generator B : Cycle loss A / : Cycle loss B ) |
Generated images (Input / Generated / Reconstructed) |
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Generated images using test data
Apple to Orange 1st column: Input / 2nd column: Generated / 3rd column: Reconstructed |
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Orange to Apple 1st column: Input / 2nd column: Generated / 3rd column: Reconstructed |