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IJSTR >> Volume 9 - Issue 5, May 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

An Image Based Style Transfer Model Using Convolution Neural Network

[Full Text]



B. Manjula Josephine, K. Ruth Ramya, K.V.S.N. Rama Rao, Pokala Venkata Bala Kishore, S. Rahamathulla



Style Transfer, Neural Network, CNN, Image Transformation.



Rendering the semantic substance of a picture in various styles is a troublesome picture handling task. Apparently, a significant constraining variable for past methodologies has been the absence of picture portrayals that expressly speak to semantic data and, in this way, permit to isolate picture content from style. Here we use picture portrayals got from Convolutional Neural Networks streamlined for object acknowledgment, which make elevated level picture data express. We present A Neural Algorithm of Artistic Style that can isolate and recombine the picture substance and style of characteristic pictures. The calculation permits us to create new pictures of high perceptual quality that join the substance of a discretionary photo with the presence of various notable fine arts. Our outcomes give new bits of knowledge into the profound picture portrayals learned by Convolutional Neural Networks and show their potential for significant level picture union and control.



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