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Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metric. (arXiv:2208.00623v1 [cs.CV])
Aug. 2, 2022, 2:13 a.m. | Hangwei Chen, Feng Shao, Xiongli Chai, Yuese Gu, Qiuping Jiang, Xiangchao Meng, Yo-Sung Ho
cs.CV updates on arXiv.org arxiv.org
Arbitrary neural style transfer is a vital topic with research value and
industrial application prospect, which strives to render the structure of one
image using the style of another. Recent researches have devoted great efforts
on the task of arbitrary style transfer (AST) for improving the stylization
quality. However, there are very few explorations about the quality evaluation
of AST images, even it can potentially guide the design of different
algorithms. In this paper, we first construct a new AST …
More from arxiv.org / cs.CV updates on arXiv.org
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