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by reiinakano
2775 days ago
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Hi HN! A year ago, I shared a demo where you could paint a photograph in the
style of one of five paintings, via neural networks, right in the browser. Since then, a few papers have come out attempting to create a single model
that could be used for all styles. I tried porting one of those models to the
browser today. A brief summary of how the algorithm works: - For any particular style, a neural network encodes it into a 100-dimensional
vector that represents the network's "understanding" of the style. - This vector is fed, along with the content image, to another neural
network that does the style transformation. This is also how combining two styles work. The mean of the style vectors
of Style A and Style B is calculated and used as the style vector input
to the transformation network. In any case, I acknowledge the results are not perfect and will not look
good for all combinations of style and content (particularly faces, ugh),
but I think it's a good reason to get excited about what will eventually become
possible in the future using the browser alone. |
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