awesome-image-translation VS AdaIN-style

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

Here are basically most of the papers gathered: https://github.com/weihaox/awesome-image-translation.

Except that SD will not be using any opted out content for new foundation models (https://techcrunch.com/2023/05/03/spawning-lays-out-its-plans-for-letting-creators-opt-out-of-generative-ai-training), anyone can train any content into models pretty quickly and easily, and one shot learning techniques that don't require training are becoming more prevalent where you can just show a model a picture (or a few) at generation time and it learns it instantly and uses the style (https://arxiv.org/abs/2304.03411, https://arxiv.org/abs/1703.06868). Not just artists, but everyone will need to get used to the generative reality we are now in. It's all pretty incredible stuff, a form of humanity distilled into a raw creative engine, also the fact most of it's happening in an open way that people can operate on their own machines (SD, Llama, etc)

reference_adain AdaIn (Adaptive Instance Normalization) from Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang and Serge Belongie, Cornell University https://arxiv.org/abs/1703.06868

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