Results 21 to 30 of about 3,164,616 (286)
Photorealistic Style Transfer Guided by Global Information [PDF]
Jisuanji kexue, 2022 Different from artistic style transfer,the challenge of photorealistic style transfer is to maintain the authenticity of the output while transferring the color style of the style input.Now,most photorealistic style transfer methods perform pre-proces ...
ZHANG Ying-tao, ZHANG Jie, ZHANG Rui, ZHANG Wen-qiang
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Photographic style transfer [PDF]
The Visual Computer, 2018 © 2018, The Author(s). Image style transfer has attracted much attention in recent years. However, results produced by existing works still have lots of distortions. This paper investigates the CNN-based artistic style transfer work specifically and finds out the key reasons for distortion coming from twofold: the loss of spatial structures of content ...
Li Wang 0105 +4 more
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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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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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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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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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CoRR, 2020 Neural style transfer (NST), where an input image is rendered in the style of another image, has been a topic of considerable progress in recent years. Research over that time has been dominated by transferring aspects of color and texture, yet these factors are only one component of style.
Xiao-Chang Liu +3 more
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Arbitrary Style Transfer With Style-Attentional Networks [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Arbitrary style transfer aims to synthesize a content image with the style of an image to create a third image that has never been seen before. Recent arbitrary style transfer algorithms find it challenging to balance the content structure and the style patterns.
Dae Young Park, Kwang Hee Lee
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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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A non-definitive auto-transfer mechanism for arbitrary style transfers
, 2023 In recent years, image style transfers have increasingly become a hot research topic in the field of computer vision. The existing CNN-based style transfer methods have been the basis of a substantial amount of research in the content–style fusion area ...
Yu, Xin +6 more
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