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The advancement of deep learning has opened up possibilities for image transformation and generation models in various fields. Generative Adversarial Networks (GANs) lie at the core of these advancements, and among them, CycleGAN is particularly recognized as a useful model for style transfer. In this article, I will explain the principles, applications, and implementation process … 더 보기 ""