An intelligent system for content generation

Generation graphical content from a single template image file in art manner is an important but difficult task for artificial neural networks, mostly due to the huge difference between classification existing data and producing new data. Nevertheless artificial intelligent systems capable of genera...

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Главные авторы:	Nikolaev, E. I., Николаев, Е. И., Dvoryaninov, P. V., Дворянинов, П. В., Lensky, Y. Y., Ленский, Я. Ю., Drozdovsky, N. S., Дроздовский, Н. С.
Formato:	Статья
Idioma:	English
Publicado:	CEUR-WS 2018
Темы:	Classification Intelligent systems Neural networks Three dimensional computer graphics Deep neural networks
Acceso en liña:	https://www.scopus.com/record/display.uri?eid=2-s2.0-85019885850&origin=resultslist&sort=plf-f&src=s&st1=An+intelligent+system+for+content+generation&st2=&sid=29bb6676f1cc3369baba28b866977483&sot=b&sdt=b&sl=59&s=TITLE-ABS-KEY%28An+intelligent+system+for+content+generation%29&relpos=76&citeCnt=1&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/3022
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spelling	oai:10.200.131.19:20.500.12258-30222018-11-15T14:30:52Z An intelligent system for content generation Nikolaev, E. I. Николаев, Е. И. Dvoryaninov, P. V. Дворянинов, П. В. Lensky, Y. Y. Ленский, Я. Ю. Drozdovsky, N. S. Дроздовский, Н. С. Classification Intelligent systems Neural networks Three dimensional computer graphics Deep neural networks Generation graphical content from a single template image file in art manner is an important but difficult task for artificial neural networks, mostly due to the huge difference between classification existing data and producing new data. Nevertheless artificial intelligent systems capable of generating new content are important scientific task, because their working principles are close to the human thinking processes. Here we introduce an artificial system based on a Deep Neural Network that creates images, audio or 3D-content. In this work, we propose an content generative system for producing content by using pre-trained Deep Neural Network. This is made possible mainly two technical innovations. First, we propose to use different pre-trained neural networks, so that generative system can use optimized network parameters to produce new images. Content generative system and core Deep Neural Network are weakly bound components and we can obtain different system output by core replacement. Second, proposed artificial system can be used not only for image generation, but also for producing audio content and generation 3D-models with target style. 2018-09-19T13:49:33Z 2018-09-19T13:49:33Z 2017 Статья Nikolaev, E.I., Dvoryaninov, P.V., Lensky, Y.Y., Drozdovsky, N.S. An intelligent system for content generation // CEUR Workshop Proceedings. - 2017. - Volume 1837. - Pages 152-157 https://www.scopus.com/record/display.uri?eid=2-s2.0-85019885850&origin=resultslist&sort=plf-f&src=s&st1=An+intelligent+system+for+content+generation&st2=&sid=29bb6676f1cc3369baba28b866977483&sot=b&sdt=b&sl=59&s=TITLE-ABS-KEY%28An+intelligent+system+for+content+generation%29&relpos=76&citeCnt=1&searchTerm= http://hdl.handle.net/20.500.12258/3022 en CEUR Workshop Proceedings application/pdf CEUR-WS
institution	СКФУ
collection	Репозиторий
language	English
topic	Classification Intelligent systems Neural networks Three dimensional computer graphics Deep neural networks
spellingShingle	Classification Intelligent systems Neural networks Three dimensional computer graphics Deep neural networks Nikolaev, E. I. Николаев, Е. И. Dvoryaninov, P. V. Дворянинов, П. В. Lensky, Y. Y. Ленский, Я. Ю. Drozdovsky, N. S. Дроздовский, Н. С. An intelligent system for content generation
description	Generation graphical content from a single template image file in art manner is an important but difficult task for artificial neural networks, mostly due to the huge difference between classification existing data and producing new data. Nevertheless artificial intelligent systems capable of generating new content are important scientific task, because their working principles are close to the human thinking processes. Here we introduce an artificial system based on a Deep Neural Network that creates images, audio or 3D-content. In this work, we propose an content generative system for producing content by using pre-trained Deep Neural Network. This is made possible mainly two technical innovations. First, we propose to use different pre-trained neural networks, so that generative system can use optimized network parameters to produce new images. Content generative system and core Deep Neural Network are weakly bound components and we can obtain different system output by core replacement. Second, proposed artificial system can be used not only for image generation, but also for producing audio content and generation 3D-models with target style.
format	Статья
author	Nikolaev, E. I. Николаев, Е. И. Dvoryaninov, P. V. Дворянинов, П. В. Lensky, Y. Y. Ленский, Я. Ю. Drozdovsky, N. S. Дроздовский, Н. С.
author_facet	Nikolaev, E. I. Николаев, Е. И. Dvoryaninov, P. V. Дворянинов, П. В. Lensky, Y. Y. Ленский, Я. Ю. Drozdovsky, N. S. Дроздовский, Н. С.
author_sort	Nikolaev, E. I.
title	An intelligent system for content generation
title_short	An intelligent system for content generation
title_full	An intelligent system for content generation
title_fullStr	An intelligent system for content generation
title_full_unstemmed	An intelligent system for content generation
title_sort	intelligent system for content generation
publisher	CEUR-WS
publishDate	2018
url	https://www.scopus.com/record/display.uri?eid=2-s2.0-85019885850&origin=resultslist&sort=plf-f&src=s&st1=An+intelligent+system+for+content+generation&st2=&sid=29bb6676f1cc3369baba28b866977483&sot=b&sdt=b&sl=59&s=TITLE-ABS-KEY%28An+intelligent+system+for+content+generation%29&relpos=76&citeCnt=1&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/3022
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An intelligent system for content generation

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