Results 21 to 30 of about 14,589,261 (282)
Image Steganography based on Style Transfer
CoRR, 2022 Image steganography is the art and science of using images as cover for covert communications. With the development of neural networks, traditional image steganography is more likely to be detected by deep learning-based steganalysis. To improve upon this, we propose image steganography network based on style transfer, and the embedding of secret ...
Donghui Hu +4 more
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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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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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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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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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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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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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CoRR, 2018 Recent fast image style transferring methods use feed-forward neural networks to generate an output image of desired style strength from the input pair of a content and a target style image. In the existing methods, the image of intermediate style between the content and the target style is obtained by decoding a linearly interpolated feature in ...
Hyun-Chul Choi, Minseong Kim
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A Content Transformation Block for Image Style Transfer [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Accepted to CVPR ...
Dmytro Kotovenko +4 more
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