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You can also refer to these github repo that keep tracks of papers on image-to-image translation: https://github.com/weihaox/awesome-image-translation
I think you could start by checking one of the earliest work for arbitrary style transfer Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization. Since, there have been plenty of works who have worked on extending/improving the normalization for better stylization such as: - Arbitrary Style Transfer with Style-Attentional Networks - Adaattn: Revisit attention mechanism in arbitrary neural style transfer In my opinion, these methods are usually for Art oriented applications because the generated images can lack of photorealism. If you are looking for more photorealistic generated images you can look at on of these papers: - Multimodal Unsupervised Image-to-Image Translation
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