Image Style Transfer: from Artistic to Photorealistic
Computer Vision and Pattern Recognition
2022-04-12 v1 Image and Video Processing
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.
Keywords
Cite
@article{arxiv.2203.06328,
title = {Image Style Transfer: from Artistic to Photorealistic},
author = {Chenggui Sun and Li Bin Song},
journal= {arXiv preprint arXiv:2203.06328},
year = {2022}
}