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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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Mathematics, 2023 In the rapidly emerging era of untact (“contact-free”) technologies, the requirement for three-dimensional (3D) virtual environments utilized in virtual reality (VR)/augmented reality (AR) and the metaverse has seen significant growth, owing to their ...
Jisun Park, Kyungeun Cho
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Demystifying Neural Style Transfer [PDF]
, 2017 Neural Style Transfer has recently demonstrated very exciting results which catches eyes in both academia and industry. Despite the amazing results, the principle of neural style transfer, especially why the Gram matrices could represent style remains ...
Xiaodi Hou +3 more
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GANST: Gradient-aware Arbitrary Neural Style Transfer [PDF]
, 2021 Artistic style transfer synthesizes a stylized image with content from a target image and style from an art image. The latest neural style transfer leverages texture distributions as style information, and applies the style to content images afterwards ...
Zhu, Haichao
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Evolving Neural Style Transfer Blends
, 2021 Neural style transfer is an image filtering technique used in both digital art practice and commercial software. We investigate blending the styles afforded by neural models via interpolation and overlaying different stylisations.
Colton, S, Simon Colton
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The Cognition of Audience to Artistic Style Transfer
Applied Sciences, 2021 Artificial Intelligence (AI) is becoming more popular in various fields, including the area of art creation. Advances in AI technology bring new opportunities and challenges in the creation, experience, and appreciation of art. The neural style transfer (
Yanru Lyu +3 more
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The Intra-Class and Inter-Class Relationships in Style Transfer
Applied Sciences, 2018 Neural style transfer, which has attracted great attention in both academic research and industrial engineering and demonstrated very exciting and remarkable results, is the technique of migrating the semantic content of one image to different artistic ...
Xin Cui, Meng Qi, Yi Niu, Bingxin Li
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Style Permutation for Diversified Arbitrary Style Transfer
IEEE Access, 2020 Arbitrary neural style transfer aims to render a content image in a randomly given artistic style using the features extracted from a well-trained convolutional neural network.
Pan Li +4 more
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International Journal of Digital Earth, 2023 Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance of their historical period.
Shuai Hong +6 more
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DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer [PDF]
, 2023 Neural Style Transfer (NST) is the field of study applying neural techniques to modify the artistic appearance of a content image to match the style of a reference style image.
Tarrés, Gemma Canet +5 more
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