Results 11 to 20 of about 475,373 (270)
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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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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Semantic Context-Aware Image Style Transfer [PDF]
IEEE Transactions on Image Processing, 2022 To provide semantic image style transfer results which are consistent with human perception, transferring styles of semantic regions of the style image to their corresponding semantic regions of the content image is necessary. However, when the object categories between the content and style images are not the same, it is difficult to match semantic ...
Yi-Sheng Liao, Chun-Rong Huang
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Total Style Transfer with a Single Feed-Forward Network
Sensors, 2022 The development of recent image style transfer methods allows the quick transformation of an input content image into an arbitrary style. However, these methods have a limitation that the scale-across style pattern of a style image cannot be fully ...
Minseong Kim, Hyun-Chul Choi
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Domain Adaptation via Image Style Transfer [PDF]
, 2020 While recent growth in modern machine learning techniques has led to remarkable strides in computer vision applications, one of the most significant challenges facing learning-based vision systems is the scarcity of large, high-fidelity datasets required for training large-scale models. This has necessitated the creation of transfer learning and domain
Atapour-Abarghouei A, Breckon TP
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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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Coarse-to-Fine Structure-Aware Artistic Style Transfer
Applied Sciences, 2023 Artistic style transfer aims to use a style image and a content image to synthesize a target image that retains the same artistic expression as the style image while preserving the basic content of the content image. Many recently proposed style transfer
Kunxiao Liu +3 more
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Using a Pre-Trained Neural Network (VGG 16) to Solve the Image Style Transfer Problem
Современные информационные технологии и IT-образование, 2022 The task of image style transfer is to create a new, previously non-existent image by combining two given images ‒ the original image and the styled image.
Moutouama N’dah Bienvenu Mouale
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SAMStyler: Enhancing Visual Creativity With Neural Style Transfer and Segment Anything Model (SAM)
IEEE Access, 2023 Neural Style Transfer (NST) is a popular technique of computer vision where the content of an image is blended with the style of another, which results in a fused image with certain properties of both original images.
Konstantinos Psychogyios +5 more
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Multiscale style transfer based on a Laplacian pyramid for traditional Chinese painting
Electronic Research Archive, 2023 Style transfer is adopted to synthesize appealing stylized images that preserve the structure of a content image but carry the pattern of a style image.
Kunxiao Liu +3 more
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