Guided neural style transfer for shape stylization. [PDF]
PLoS ONE, 2020 Designing logos, typefaces, and other decorated shapes can require professional skills. In this paper, we aim to produce new and unique decorated shapes by stylizing ordinary shapes with machine learning.
Gantugs Atarsaikhan +2 more
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Material Translation Based on Neural Style Transfer with Ideal Style Image Retrieval [PDF]
Sensors, 2022 The field of Neural Style Transfer (NST) has led to interesting applications that enable us to transform reality as human beings perceive it. Particularly, NST for material translation aims to transform the material of an object into that of a target ...
Gibran Benitez-Garcia +2 more
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Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer [PDF]
Sensors, 2020 Image neural style transfer is a process of utilizing convolutional neural networks to render a content image based on a style image. The algorithm can compute a stylized image with original content from the given content image but a new style from the ...
Shuai Liu +3 more
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Statistical image properties predict aesthetic ratings in abstract paintings created by neural style transfer [PDF]
Frontiers in Neuroscience, 2022 Artificial intelligence has emerged as a powerful computational tool to create artworks. One application is Neural Style Transfer, which allows to transfer the style of one image, such as a painting, onto the content of another image, such as a ...
Hannah Alexa Geller +3 more
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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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Regularization by neural style transfer for MRI field-transfer reconstruction with limited data [PDF]
Frontiers in Artificial IntelligenceRecent advances in MRI reconstruction have demonstrated remarkable success through deep learning-based models. However, most existing methods rely heavily on large-scale, task-specific datasets, making reconstruction in data-limited settings a critical ...
Guoyao Shen +17 more
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Neural Style Transfer: A Critical Review [PDF]
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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Stealthy Vehicle Adversarial Camouflage Texture Generation Based on Neural Style Transfer [PDF]
EntropyAdversarial attacks that mislead deep neural networks (DNNs) into making incorrect predictions can also be implemented in the physical world. However, most of the existing adversarial camouflage textures that attack object detection models only consider ...
Wei Cai +4 more
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Applying deep learning for style transfer in digital art: enhancing creative expression through neural networks [PDF]
Scientific ReportsNeural style transfer (NST) has opened new possibilities for digital art by enabling the blending of distinct artistic styles with content from various images.
Shijun Zhang, Yanling Qi, Jingqi Wu
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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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