http://v.michm.ru/index.php?action=history&feed=atom&title=%D0%9F%D0%BE%D0%B8%D1%81%D0%BA_%28%D0%B0%29_%D0%9E%D0%B2%D1%81%D1%8F%D0%BD%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0Поиск (а) Овсянникова - История изменений2026-04-05T16:03:43ZИстория изменений этой страницы в викиMediaWiki 1.19.23http://v.michm.ru/index.php?title=%D0%9F%D0%BE%D0%B8%D1%81%D0%BA_(%D0%B0)_%D0%9E%D0%B2%D1%81%D1%8F%D0%BD%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0&diff=49329&oldid=prevОвсянникова Владислава в 12:54, 25 ноября 20242024-11-25T12:54:43Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Maxwell J. Jacobson, Yexiang Xue,Integrating Symbolic Reasoning into Neural Generative Models for Design Generation,Artificial Intelligence,2024,104257,ISSN 0004-3702,https://doi.org/10.1016/j.artint.2024.104257.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Maxwell J. Jacobson, Yexiang Xue,Integrating Symbolic Reasoning into Neural Generative Models for Design Generation,Artificial Intelligence,2024,104257,ISSN 0004-3702,https://doi.org/10.1016/j.artint.2024.104257.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>HeQiang Zhou,Intelligent personalized content recommendations based on neural networks,International Journal of Intelligent Networks,Volume 4,2023,Pages 231-239,ISSN 2666-6030,https://doi.org/10.1016/j.ijin.2023.09.001.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>HeQiang Zhou,Intelligent personalized content recommendations based on neural networks,International Journal of Intelligent Networks,Volume 4,2023,Pages 231-239,ISSN 2666-6030,https://doi.org/10.1016/j.ijin.2023.09.001.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">Conclusion: Media generation using neural networks is one of the most exciting and rapidly developing areas in the field of artificial intelligence and creativity. Neural networks open up new horizons for creating unique content, including images, music and text. Also, the generation of media by neural networks allows you to explore new forms of expression and interaction with the audience.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>[[Файл:MediaGeneratt.png]]</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>[[Файл:MediaGeneratt.png]]</div></td></tr>
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</table>Овсянникова Владиславаhttp://v.michm.ru/index.php?title=%D0%9F%D0%BE%D0%B8%D1%81%D0%BA_(%D0%B0)_%D0%9E%D0%B2%D1%81%D1%8F%D0%BD%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0&diff=49321&oldid=prevОвсянникова Владислава в 12:45, 25 ноября 20242024-11-25T12:45:31Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Topic: Media generation by neural networks</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Topic: Media generation by neural networks</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Key-words: generation, images, neural networks, creativity  </div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Key-words: generation, images, neural networks, creativity  </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">Results: 88063</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Relevance: Media generation using neural networks is a current and rapidly developing topic that has a significant impact on various fields. AI-powered media generation allows artists and designers to experiment with new art forms, creating unique pieces that were previously impossible.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Relevance: Media generation using neural networks is a current and rapidly developing topic that has a significant impact on various fields. AI-powered media generation allows artists and designers to experiment with new art forms, creating unique pieces that were previously impossible.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Wei Fan, Jianwen Fang, Gang Huang, An improved image texture synthesis based on algorithm convolution neural network,Physical Communication,Volume 66,2024,102395,ISSN 1874-4907,https://doi.org/10.1016/j.phycom.2024.102395.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Wei Fan, Jianwen Fang, Gang Huang, An improved image texture synthesis based on algorithm convolution neural network,Physical Communication,Volume 66,2024,102395,ISSN 1874-4907,https://doi.org/10.1016/j.phycom.2024.102395.</div></td></tr>
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</table>Овсянникова Владиславаhttp://v.michm.ru/index.php?title=%D0%9F%D0%BE%D0%B8%D1%81%D0%BA_(%D0%B0)_%D0%9E%D0%B2%D1%81%D1%8F%D0%BD%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0&diff=49320&oldid=prevОвсянникова Владислава в 12:44, 25 ноября 20242024-11-25T12:44:50Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Maxwell J. Jacobson, Yexiang Xue,Integrating Symbolic Reasoning into Neural Generative Models for Design Generation,Artificial Intelligence,2024,104257,ISSN 0004-3702,https://doi.org/10.1016/j.artint.2024.104257.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>Maxwell J. Jacobson, Yexiang Xue,Integrating Symbolic Reasoning into Neural Generative Models for Design Generation,Artificial Intelligence,2024,104257,ISSN 0004-3702,https://doi.org/10.1016/j.artint.2024.104257.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>HeQiang Zhou,Intelligent personalized content recommendations based on neural networks,International Journal of Intelligent Networks,Volume 4,2023,Pages 231-239,ISSN 2666-6030,https://doi.org/10.1016/j.ijin.2023.09.001.</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>HeQiang Zhou,Intelligent personalized content recommendations based on neural networks,International Journal of Intelligent Networks,Volume 4,2023,Pages 231-239,ISSN 2666-6030,https://doi.org/10.1016/j.ijin.2023.09.001.</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="background: #ffa; color:black; font-size: smaller;"><div>[[Файл:MediaGeneratt.<del class="diffchange diffchange-inline">jpg</del>]]</div></td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div>[[Файл:MediaGeneratt.<ins class="diffchange diffchange-inline">png</ins>]]</div></td></tr>
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</table>Овсянникова Владиславаhttp://v.michm.ru/index.php?title=%D0%9F%D0%BE%D0%B8%D1%81%D0%BA_(%D0%B0)_%D0%9E%D0%B2%D1%81%D1%8F%D0%BD%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0&diff=49319&oldid=prevОвсянникова Владислава: Новая страница: «Topic: Media generation by neural networks Key-words: generation, images, neural networks, creativity Relevance: Media generation using neural networks is a curr…»2024-11-25T12:44:19Z<p>Новая страница: «Topic: Media generation by neural networks Key-words: generation, images, neural networks, creativity Relevance: Media generation using neural networks is a curr…»</p>
<p><b>Новая страница</b></p><div>Topic: Media generation by neural networks<br />
Key-words: generation, images, neural networks, creativity <br />
Relevance: Media generation using neural networks is a current and rapidly developing topic that has a significant impact on various fields. AI-powered media generation allows artists and designers to experiment with new art forms, creating unique pieces that were previously impossible.<br />
Wei Fan, Jianwen Fang, Gang Huang, An improved image texture synthesis based on algorithm convolution neural network,Physical Communication,Volume 66,2024,102395,ISSN 1874-4907,https://doi.org/10.1016/j.phycom.2024.102395.<br />
Maxwell J. Jacobson, Yexiang Xue,Integrating Symbolic Reasoning into Neural Generative Models for Design Generation,Artificial Intelligence,2024,104257,ISSN 0004-3702,https://doi.org/10.1016/j.artint.2024.104257.<br />
HeQiang Zhou,Intelligent personalized content recommendations based on neural networks,International Journal of Intelligent Networks,Volume 4,2023,Pages 231-239,ISSN 2666-6030,https://doi.org/10.1016/j.ijin.2023.09.001.<br />
[[Файл:MediaGeneratt.jpg]]</div>Овсянникова Владислава