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Dual-domain style transfer network [PDF]
Science ProgressArbitrary style transfer is attracting increasing attention due to its wide application potential. Existing approaches either directly fuse deep style features with deep content features or adaptively normalize content features to achieve global ...
Changyang Hu +5 more
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UltraStyle: Best of both worlds in style and content for style transfer [PDF]
PLoS ONEAchieving an ideal balance between style fidelity and content preservation remains a critical challenge in style transfer. In this work, we present UltraStyle, a new framework that reconciles these two objectives through a reformulation of the learning ...
Yongqian Tan, Fanju Zeng
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Deep Learning-Based Motion Style Transfer Tools, Techniques and Future Challenges [PDF]
Sensors, 2023 In the fourth industrial revolution, the scale of execution for interactive applications increased substantially. These interactive and animated applications are human-centric, and the representation of human motion is unavoidable, making the ...
Syed Muhammad Abrar Akber +3 more
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StyDiff: a refined style transfer method based on diffusion models [PDF]
Scientific ReportsImage style transfer is a key research area in computer vision. Despite significant progress, challenges such as mode collapse, over-stylization, and insufficient style transfer persist, impacting image quality and stability.
Yanming Sun, He Meng
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Total Style Transfer with a Single Feed-Forward Network [PDF]
Sensors, 2022 The development of recent image style transfer methods allows the quick transformation of an input content image into an arbitrary style. However, these methods have a limitation that the scale-across style pattern of a style image cannot be fully ...
Minseong Kim, Hyun-Chul Choi
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Style Transfer Review: Traditional Machine Learning to Deep Learning
InformationStyle transfer is a technique that learns style features from different domains and applies these features to other images. It can not only play a role in the field of artistic creation but also has important significance in image processing, video ...
Yao Xu +4 more
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Arbitrary Image Style Transfer with Consistent Semantic Style [PDF]
Jisuanji kexue, 2023 The goal of image style transfer is to synthesize an output image by transferring the style of the target image to a given content image.There are a large number of image style transfer works,but the stylization results ignore the manifold distribution ...
YAN Mingqiang, YU Pengfei, LI Haiyan, LI Hongsong
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Style Transfer of Thangka Images Highlighting Style Attributes
IEEE Access, 2023 The HAA-GAN (Highlighting Artistic Attributes Generative Adversarial Net-work) style migration model is proposed to address the problem of poor expression of image artistic attributes and mismatch between semantic and stylistic features in images ...
Wenjin Hu +4 more
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Image Style Transfer via Multi-Style Geometry Warping
Applied Sciences, 2022 Style transfer of an image has been receiving attention from the scientific community since its inception in 2015. This topic is characterized by an accelerated process of innovation; it has been defined by techniques that blend content and style, first ...
Ioana Alexandru +6 more
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Coarse-to-Fine Structure-Aware Artistic Style Transfer
Applied Sciences, 2023 Artistic style transfer aims to use a style image and a content image to synthesize a target image that retains the same artistic expression as the style image while preserving the basic content of the content image. Many recently proposed style transfer
Kunxiao Liu +3 more
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