Results 11 to 20 of about 14,589,261 (282)
Unbiased Image Style Transfer [PDF]
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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Neural Network Techniques for Image Style Transfer [PDF]
ITM Web of ConferencesWith the rapid advancement of deep learning technology, neural networks have achieved remarkable results in the field of image processing. Particularly in image style transfer, neural network-based methods have become a research hotspot.
Zhang Ziqi
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An Analysis for Image-to-Image Translation and Style Transfer [PDF]
CoRRWith the development of generative technologies in deep learning, a large number of image-to-image translation and style transfer models have emerged at an explosive rate in recent years. These two technologies have made significant progress and can generate realistic images.
Xiaoming Yu, Jie Tian 0001, Zhenhua Hu
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Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer
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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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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Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models
IEEE Access, 2021 A new style transfer-based image manipulation framework combining generative networks and style transfer networks is presented in this paper. Unlike conventional style transfer tasks, we tackle a new task, text-guided image manipulation. We realize style
Ren Togo +3 more
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DBDST-Net: Dual-Branch Decoupled Image Style Transfer Network
InformationThe image style transfer task aims to apply the style characteristics of a reference image to a content image, generating a new stylized result. While many existing methods focus on designing feature transfer modules and have achieved promising results ...
Na Su +4 more
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Increasing Image Memorability with Neural Style Transfer [PDF]
ACM Transactions on Multimedia Computing, Communications, and Applications, 2019 Recent works in computer vision and multimedia have shown that image memorability can be automatically inferred exploiting powerful deep-learning models. This article advances the state of the art in this area by addressing a novel and more challenging issue: “ Given an arbitrary input image, can we make it more memorable?
Aliaksandr Siarohin +5 more
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A compositional transformer based autoencoder for image style transfer
, 2023 Image style transfer has become a key technique in modern photo-editing applications. Although significant progress has been made to blend content from one image with style from another image, the synthesized image may have a hallucinatory effect when ...
Xinhui Li (349485) +7 more
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Image Style Transfer and Content-Style Disentanglement
CoRR, 2021 We propose a way of learning disentangled content-style representation of image, allowing us to extrapolate images to any style as well as interpolate between any pair of styles. By augmenting data set in a supervised setting and imposing triplet loss, we ensure the separation of information encoded by content and style representation. We also make use
Sailun Xu, Jiazhi Zhang, Jiamei Liu
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