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Diving into StyleSynthesis can be a real rabbit hole if you're not careful. One thing I've definitely learned is the importance of a really solid understanding of your chosen style representations before you even think about training. I spent way too long wrestling with weird artifacts simply as I was using a style depiction that wasn't well-suited to the particular artistic styles I was trying to transfer. for example, trying to force a highly textured impasto painting style onto a vector graphic just wasn’t going to work, no matter how much I trained.
Another big gotcha is getting bogged down in the technical aspects of the architecture and losing sight of the perceptual quality of the results. It's tempting to try to optimize all the loss functions, but ultimately, it's how good the output looks that really matters. I've found that regularly doing subjective evaluations, comparing generated images side-by-side, is invaluable. Are there any particular pain points or unexpected challenges you've encountered when implementing StyleSynthesis? I'm curious to hear about other people's experiences and potential solutions!