Results 11 to 20 of about 3,164,616 (286)

Style Permutation for Diversified Arbitrary Style Transfer [PDF]

open access: yesIEEE 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
doaj   +3 more sources

Demystifying Neural Style Transfer [PDF]

open access: yesProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 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
core   +5 more sources

Neural policy style transfer

open access: yesCognitive Systems Research, 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
core   +4 more sources

Neural Network Techniques for Image Style Transfer [PDF]

open access: yesITM Web of Conferences
With 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
doaj   +2 more sources

Unbiased Image Style Transfer [PDF]

open access: yesIEEE 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
doaj   +3 more sources

Neural Style Transfer [PDF]

open access: yes, 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
core   +3 more sources

Unified Style Transfer

open access: yesCoRR, 2021
Currently, it is hard to compare and evaluate different style transfer algorithms due to chaotic definitions of style and the absence of agreed objective validation methods in the study of style transfer. In this paper, a novel approach, the Unified Style Transfer (UST) model, is proposed.
Guanjie Huang   +4 more
openaire   +2 more sources

Transferring human emotions to robot motions using Neural Policy Style Transfer [PDF]

open access: yes, 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
core   +1 more source

Audio Style Transfer [PDF]

open access: yes2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, France ...
Eric Grinstein   +3 more
openaire   +5 more sources

Consistent Style Transfer

open access: yesCoRR, 2022
10 pages, 11 ...
Xuan Luo   +3 more
openaire   +2 more sources

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