Articles with "arbitrary style" as a keyword



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Arbitrary Style Transfer With Fused Convolutional Block Attention Modules

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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… read more here.

Keywords: network; style; attention; style transfer ... See more keywords
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CLAST: Contrastive Learning for Arbitrary Style Transfer

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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.… read more here.

Keywords: style transfer; style; arbitrary style; contrastive learning ... See more keywords
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LCCStyle: Arbitrary Style Transfer With Low Computational Complexity

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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… read more here.

Keywords: style; computational complexity; style transfer; arbitrary style ... See more keywords
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Fast Continuous Structural Similarity Patch Based Arbitrary Style Transfer

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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… read more here.

Keywords: style; similarity; style transfer; transfer ... See more keywords