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An intelligent system for content generation

An intelligent system for content generation

عرض إصدارات أخرى (1)

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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Nikolaev, E. I., Николаев, Е. И., Dvoryaninov, P. V., Дворянинов, П. В., Lensky, Y. Y., Ленский, Я. Ю., Drozdovsky, N. S., Дроздовский, Н. С.
التنسيق: Статья
اللغة:English
منشور في: CEUR-WS 2018
الموضوعات:
Classification
Intelligent systems
Neural networks
Three dimensional computer graphics
Deep neural networks
الوصول للمادة أونلاين: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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الوصف
الملخص: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.

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