Add to ORKGIn this work, I propose a typographic style transfer methodology, based on a custom trained convolutional neural network, with the intention to generate the unobserved characters of a digital typeface in the corresponding typographic style
For hundred years, artists engage into art creation to present their understanding of subjective and...
Neural style transfer (NST) is a technique based on the deep learning of a convolutional neural netw...
It is a very challenging task for image processing techniques to render the semantic contents of one...
In this work, I propose a typographic style transfer methodology, based on a custom trained convolut...
The essence of font style transfer is to move the style features of an image into a font while maint...
Text effects transfer technology automatically makes the text dramatically more impressive. However,...
[[abstract]]Recently, deep convolutional neural networks have resulted in noticeable improvements in...
[[abstract]]Recently, deep convolutional neural networks have resulted in noticeable improvements in...
Artistic style transfer, a captivating application of generative artificial intelligence, involves f...
Designing logos, typefaces, and other decorated shapes can require professional skills. In this pape...
In this article we present the way to transfer style from one image to the content of another with c...
Amongst the methods available for machine learning and artificial intelligence, neural networks are ...
The diversity of painting styles provides rich visual information for constructing artistic images. ...
Texture transfer of images, or transferring the style of one image to another, has remained one of t...
Rendering the semantic content of an image in different styles is a difficult image processing task....
For hundred years, artists engage into art creation to present their understanding of subjective and...
Neural style transfer (NST) is a technique based on the deep learning of a convolutional neural netw...
It is a very challenging task for image processing techniques to render the semantic contents of one...
In this work, I propose a typographic style transfer methodology, based on a custom trained convolut...
The essence of font style transfer is to move the style features of an image into a font while maint...
Text effects transfer technology automatically makes the text dramatically more impressive. However,...
[[abstract]]Recently, deep convolutional neural networks have resulted in noticeable improvements in...
[[abstract]]Recently, deep convolutional neural networks have resulted in noticeable improvements in...
Artistic style transfer, a captivating application of generative artificial intelligence, involves f...
Designing logos, typefaces, and other decorated shapes can require professional skills. In this pape...
In this article we present the way to transfer style from one image to the content of another with c...
Amongst the methods available for machine learning and artificial intelligence, neural networks are ...
The diversity of painting styles provides rich visual information for constructing artistic images. ...
Texture transfer of images, or transferring the style of one image to another, has remained one of t...
Rendering the semantic content of an image in different styles is a difficult image processing task....
For hundred years, artists engage into art creation to present their understanding of subjective and...
Neural style transfer (NST) is a technique based on the deep learning of a convolutional neural netw...
It is a very challenging task for image processing techniques to render the semantic contents of one...