Results 21 to 30 of about 5,049,293 (271)
Image Style Transfer Algorithm Based on Semantic Segmentation
IEEE Access, 2021 Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix. Each matrix is a global description of the style image.
Zhijie Lin +7 more
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ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows [PDF]
Computer Vision and Pattern Recognition, 2021 Universal style transfer retains styles from reference images in content images. While existing methods have achieved state-of-the-art style transfer performance, they are not aware of the content leak phenomenon that the image content may corrupt after ...
Jie An +5 more
semanticscholar +1 more source
Style Transfer Via Texture Synthesis [PDF]
IEEE Transactions on Image Processing, 2017 Style-transfer is a process of migrating a style from a given image to the content of another, synthesizing a new image which is an artistic mixture of the two. Recent work on this problem adopting Convolutional Neural-networks (CNN) ignited a renewed interest in this field, due to the very impressive results obtained.
Michael Elad, Peyman Milanfar
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Application of Deep Learning Algorithms to Visual Communication Courses
Frontiers in Psychology, 2021 There are rare studies on the combination of visual communication courses and image style transfer. Nevertheless, such a combination can make students understand the difference in perception brought by image styles more vividly.
Zewen Wang, Jiayi Li, Jieting Wu, Hui Xu
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IEEE Access, 2020 Image style transferring process generates an output image in the target style with a specific strength for a given pair of content and target image. Recently, feed-forward neural networks have been employed in this process to fastly decode a linearly ...
Hyun-Chul Choi
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Survey of image style transfer based on neural network
Dianzi Jishu Yingyong, 2022 In order to promote the research of image style transfer technology based on neural network, the main methods and representative work of image style transfer based on neural network are summarized and discussed in this paper.
Liu Jianfeng, Zhong Guoyun
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Deformable Style Transfer [PDF]
, 2020 ECCV 2020 (21 pages, 11 figures including the supplementary material)
Sunnie S. Y. Kim +3 more
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Neural Style Transfer: A Critical Review
IEEE Access, 2021 Neural Style Transfer (NST) is a class of software algorithms that allows us to transform scenes, change/edit the environment of a media with the help of a Neural Network. NST finds use in image and video editing software allowing image stylization based
Akhil Singh +5 more
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Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Adversarial attacks and backdoor attacks are two common security threats that hang over deep learning. Both of them harness task-irrelevant features of data in their implementation.
Fanchao Qi +5 more
semanticscholar +1 more source
Depth-Aware Neural Style Transfer for Videos
Computers, 2023 Temporal consistency and content preservation are the prominent challenges in artistic video style transfer. To address these challenges, we present a technique that utilizes depth data and we demonstrate this on real-world videos from the web, as well ...
Eleftherios Ioannou, Steve Maddock
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