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In this series of articles, we’ll present a Mobile Image-to-Image Translation system based on a Cycle-Consistent Adversarial Networks (CycleGAN). We’ll build a CycleGAN that can perform unpaired image-to-image translation, as well as show you some entertaining yet academically deep examples.

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Mobile-Style-Transfer-With-Image-to-Image-Translation

In this repository you will find a series of articles that present the development of a Mobile Image-to-Image Translation system based on a Cycle-Consistent Adversarial Networks (CycleGAN). We’ll build a CycleGAN that can perform unpaired image-to-image translation, as well as show you some entertaining yet academically deep examples.

The project source code and results can be all donwloaded from this link: https://www.codeproject.com/KB/Articles/5304919/code_and_Results.zip

Fundus Dataset: https://data.mendeley.com/datasets/dh2x8v6nf8/1

To Read articles explaining the work done in this project, go to this link: https://www.codeproject.com/Articles/5304919/Mobile-Style-Transfer-With-Image-to-Image-Translat https://www.codeproject.com/Articles/5304920/Using-CycleGAN-for-Mobile-Style-Transfer https://www.codeproject.com/Articles/5304922/Building-a-Mobile-Style-Transfer-CycleGAN-with-Ker https://www.codeproject.com/Articles/5304927/Training-a-Running-a-Deep-CycleGAN-for-Mobile-Styl https://www.codeproject.com/Articles/5304928/Building-a-Style-Transfer-CycleGAN-from-Scratch https://www.codeproject.com/Articles/5307457/Converting-a-Style-Transfer-Model-from-TensorFlow

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In this series of articles, we’ll present a Mobile Image-to-Image Translation system based on a Cycle-Consistent Adversarial Networks (CycleGAN). We’ll build a CycleGAN that can perform unpaired image-to-image translation, as well as show you some entertaining yet academically deep examples.

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