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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273949
Abstract: The advancement of deep learning has rendered image style transfer a progressively intricate subject matter. The proposed solution aims to tackle the limitations of current methods in retaining the content image object contours and avoiding…
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Keywords:
network;
style;
attention;
style transfer ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3215899
Abstract: Arbitrary style transfer aims at migrating the style of a reference style painting to a target content image. Existing methods find it challenging to achieve good content fidelity and style migration at the same time.…
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Keywords:
style transfer;
style;
arbitrary style;
contrastive learning ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3128058
Abstract: Surprising performance has been achieved in style transfer since deep learning was introduced to it. However, the existing state-of-the-art (SOTA) algorithms either suffer from quality issues or high computational complexity. The quality issues include shape…
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Keywords:
style;
computational complexity;
style transfer;
arbitrary style ... See more keywords
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0
Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9163304
Abstract: Style transfer is using a pair of content and style images to synthesize a stylized image which has both the structure of the content image and the style of style image. Existing optimization-based methods are…
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Keywords:
style;
similarity;
style transfer;
transfer ... See more keywords