Results 21 to 30 of about 475,373 (270)
An Edge Filter Based Approach of Neural Style Transfer to the Image Stylization
IEEE Access, 2022 Transferring artistic styles onto any image or photograph has become popular in industry and academia in recent years. The use of neural style transfer (NST) for image style transfer is getting more popular.
Shubham Bagwari +5 more
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Image Style Transfer and Content-Style Disentanglement
, 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
Xu, Sailun, Zhang, Jiazhi, Liu, Jiamei
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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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Deep Correlation Multimodal Neural Style Transfer
IEEE Access, 2021 Style transfer is a well-known approach used to transfer the art style of a style image to an input content image, and the core method of the style transfer is to use the Gram matrix for representing the style features of images.
Nguyen Quang Tuyen +3 more
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Image and Video Style Transfer Based on Transformer
IEEE Access, 2023 The essence of image style transfer is to generate images that both maintain in the original content image and present the effect with artistic features under the guidance of style images.
Sun Fengxue +6 more
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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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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?
A. Siarohin +5 more
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Mathematical Biosciences and Engineering, 2023 Facial makeup transfer is a special form of image style transfer. For the reference makeup image with large-pose, improving the quality of the image generated after makeup transfer is still a challenging problem worthy of discussion.
Qiming Li , Tongyue Tu
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Arbitrary Handwriting Image Style Transfer
, 2022 This paper proposed a method to imitate handwriting style by style transfer. We proposed an neural network model based on conditional generative adversarial networks (cGAN) for handwriting style transfer. This paper improved the loss function on the basis of the GAN.
Yang, Kai +2 more
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