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in its work we present a simple yet effective algorithm for universal style transfer give an account image and an arbitrary style image you like our algorithm is to transfer your favorite style to your counter image to let it have a brand new look we mainly propose a feed-forward method to realize the fast transferring for arbitrary styles different from existing methods a salient feature of our algorithm is that it does not require the training on any predefined Styles we formally stealth transfer as image reconstruction process coupled with a feature transfer module first we train all to encoder for image reconstruction only and after the training fix it forever we then use the encoder to extract features from the content STL image respectively and then insert a feature transfer module in the middle to transform the content features with regard to the style features the transform feature will be directly fed into the decoder to generate a final result so what is this transfer module