Image Style Transfer: from Artistic to Photorealistic release_i3krcc2ux5hndf4mjxzl2gp3zi

by Chenggui Sun, Li Bin Song

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2022  

Abstract

The rapid advancement of deep learning has significantly boomed the development of photorealistic style transfer. In this review, we reviewed the development of photorealistic style transfer starting from artistic style transfer and the contribution of traditional image processing techniques on photorealistic style transfer, including some work that had been completed in the Multimedia lab at the University of Alberta. Many techniques were discussed in this review. However, our focus is on VGG-based techniques, whitening and coloring transform (WCTs) based techniques, the combination of deep learning with traditional image processing techniques.
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Date   2022-03-12
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Language   en ?
arXiv  2203.06328v1
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