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Must-Do Top Open-Source CycleGAN Python Projects Before 2021
The CycleGAN is a technique that involves the automatic training of image-to-image translation models without paired examples. The models are trained in an unsupervised manner using a collection of images from the source and target domain that do not need to be related in any way. This simple technique is powerful, achieving visually impressive results on various application domains, most notably translating photographs of horses to zebra and the reverse.
CycleGAN is an approach to training image-to-image translation models using the generative adversarial network(GANs). The CycleGAN is an extension of the GAN architecture involving simultaneous training of two generator models and two discriminator models.
In this post, you will discover 5 of the best and open-source CycleGAN Projects. We will review five of the best open-source CycleGAN Machine Learning projects available on Github for anyone interested to use it.
Having good theoretical knowledge is amazing but implementing them in code…