Image Style Transfer: from Artistic to Photorealistic
release_i3krcc2ux5hndf4mjxzl2gp3zi
by
Chenggui Sun, Li Bin Song
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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