Euiyeon-Kim / CycleGAN-Pytorch

Reproduce CycleGAN using pytorch

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CycleGAN-Pytorch

Reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Main Losses

  1. Adversarial Loss

  2. Cycle consistency Loss

  3. Identity Loss

    • 이게 없어지니까 학습속도가 더뎌짐
    • Paint에서 color composition을 유지하기 위해 사용
    • Input image의 color보존에 도움을 줌

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Reproduce CycleGAN using pytorch


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Language:Python 100.0%