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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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Neural style transfer for 3D meshes
Graphical Models, 2023 Style transfer is a popular research topic in the field of computer vision. In 3D stylization, a mesh model is deformed to achieve a specific geometric style.
Hongyuan Kang +3 more
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, 2022 It is a very challenging task for image processing techniques to render the semantic contents of one image in different styles. For this, Neural Style Transfer (NST) is being used. NST is an application of Deep Neural Networks.
Saqib, Shazia +2 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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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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Transferring human emotions to robot motions using Neural Policy Style Transfer [PDF]
, 2023 International audienceNeural Style Transfer (NST) was originally proposed to use feature extraction capabilities of Neural Networks as a way to perform Style Transfer with images.
Fernandez-Fernandez, Raul +12 more
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, 2022 Está depositada la versión preprint del artículo remitido a ElsevierStyle Transfer has been proposed in a number of fields: fine arts, natural language processing, and fixed trajectories.
Gago Muñoz, Jennifer +13 more
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Deep Learning for Text Style Transfer: A Survey
Computational Linguistics, 2022 Text style transfer is an important task in natural language generation, which aims to control certain attributes in the generated text, such as politeness, emotion, humor, and many others.
Di Jin +4 more
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A Variety of Choice Methods for Image-Based Artistic Rendering
Applied Sciences, 2022 Neural style transfer (NST) is a technique based on the deep learning of a convolutional neural network (CNN) to create entertaining pictures by cleverly stylizing ordinary pictures with the predetermined visual art style.
Chiu-Chin Lin +5 more
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Employing Neural Style Transfer for Generating Deep Dream Images
ARO-The Scientific Journal of Koya University, 2022 In recent years, deep dream and neural style transfer emerged as hot topics in deep learning. Hence, mixing those two techniques support the art and enhance the images that simulate hallucinations among psychiatric patients and drug addicts.
Lafta R. Al-Khazraji +2 more
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