{"id":29895,"date":"2019-10-31T21:32:30","date_gmt":"2019-10-31T18:32:30","guid":{"rendered":"https:\/\/prohoster.info\/blog\/nejroset-ot-nvidia-prevrashhaet-prostejshie-nabroski-v-krasivye-pejzazhi\/"},"modified":"2019-10-31T21:32:30","modified_gmt":"2019-10-31T18:32:30","slug":"nejroset-ot-nvidia-prevrashhaet-prostejshie-nabroski-v-krasivye-pejzazhi","status":"publish","type":"post","link":"https:\/\/prohoster.info\/nl\/blog\/nejroset-ot-nvidia-prevrashhaet-prostejshie-nabroski-v-krasivye-pejzazhi","title":{"rendered":"Nvidia's neural network transforms simple sketches into beautiful landscapes","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"Nvidia's
\nRook waterfall and healthy person's waterfall<\/p>\n

We all know how to draw an owl. First, you need to draw an oval, then another circle, and then \u2014 voil\u00e0, you get a gorgeous owl. Of course, this is a joke, and an old one at that, but Nvidia engineers have worked hard to make imagination a reality. <\/p>\n

New development<\/a><\/noindex>, called GauGAN, creates stunning landscapes from very simple sketches (really simple \u2014 circles, lines, and all). Of course, the foundation of this development lies in modern technologies \u2014 specifically, generative adversarial neural networks.
\n<\/a><\/noindex>
\nGauGAN enables the creation of colorful virtual worlds \u2014 not only for entertainment but also for work. Thus, architects, landscape designers, game developers \u2014 they can all draw something useful. The artificial intelligence instantly 'understands' what a person wants and adds a wealth of details to the initial idea. <\/p>\n

\"Brainstorming in design development is much easier with the help of GauGAN, as the smart brush can enhance the initial sketch by adding quality images,\" stated one of the GauGAN developers.<\/p>\n

Users of this tool can modify their initial ideas, change the landscape or other images, and add sky, sand, sea, etc. Everything the heart desires, and the addition happens in just a couple of seconds.<\/p>\n

The neural network was trained using a database of millions of images. Thanks to this, the system can understand what a person wants and how to achieve it. Moreover, the neural network does not forget about the finest details. For instance, if you sketch a pond and some trees nearby, once the landscape comes to life, all nearby objects will be reflected in the pond's mirror.<\/p>\n

You can specify what the visible surface should be like \u2014 it can be covered with grass, snow, water, or sand. All this can be transformed in a second, so snow becomes sand, and instead of a snowy wasteland, the artist gets a desert landscape. <\/p>\n

\u00abHet is als een kleurboek waarin staat waar de boom moet staan, waar de zon moet staan en waar de lucht moet zijn. Daarna, na de oorspronkelijke taak, brengt de neurale netwerk het schilderij tot leven, voegt het noodzakelijke details en texturen toe, en haalt reflecties naar voren. Dit alles is gebaseerd op echte beelden\u00bb, zegt een van de ontwikkelaars. <\/p>\n

\r\n \"Video\r\n
<\/div>\r\n <\/div><\/center>
\nHoewel het systeem een gebrek aan 'begrip' van de echte wereld heeft, cre\u00ebert het indrukwekkende landschappen. Dit komt omdat er gebruik wordt gemaakt van twee neurale netwerken, een generator en een discriminator. De generator cre\u00ebert een afbeelding en toont deze aan de discriminator. Deze kiest op basis van miljoenen eerder geziene afbeeldingen de meest realistische opties. <\/p>\n

Daarom 'weet' de generator waar de reflecties moeten zijn. Het is vermeldenswaardig dat het hulpmiddel zeer flexibel is en met veel instellingen is uitgerust. Zo kun je ermee schilderijen maken die zijn aangepast aan de stijl van een bepaalde kunstenaar of gewoon aan de slag gaan met het snel toevoegen van zonsopgangen of zonsondergangen. <\/p>\n

De ontwikkelaars beweren dat het systeem niet zomaar afbeeldingen ergens vandaan haalt en deze samenvoegt om een resultaat te krijgen. Nee, alle geproduceerde 'afbeeldingen' zijn gegenereerd. Dat wil zeggen, het neurale netwerk 'cre\u00ebert' net als een echte kunstenaar (of zelfs beter).<\/p>\n

Voorlopig is de software nog niet vrij beschikbaar, maar binnenkort zal deze op een praktische manier kunnen worden getest. Dit kan tijdens de technologiebeurs GPU Technology Conference 2019, die momenteel plaatsvindt in Californi\u00eb. Gelukkigen die de beurs hebben bezocht, kunnen nu al GauGAN uitproberen.<\/p>\n

Neurale netwerken leren al geruime tijd deel te nemen aan het creatieve proces. Bijvoorbeeld, vorig jaar konden sommige van hen 3D-modellen maken<\/a><\/noindex>. Daarnaast hebben ontwikkelaars van DeepMind een neurale netwerk getraind om driedimensionale ruimtes en objecten te reconstrueren op basis van tekeningen, foto's en schetsen. Om een eenvoudige figuur te reconstrueren, heeft de neurale netwerk aan \u00e9\u00e9n afbeelding voldoende, voor het maken van meer complexe objecten zijn er vijf afbeeldingen nodig voor de training.<\/p>\n

Wat betreft GauGAN, dit hulpmiddel zal ongetwijfeld een waardevolle commerci\u00eble toepassing vinden \u2014 veel bedrijfs- en wetenschapsdomeinen hebben behoefte aan dergelijke diensten.<\/p>\n

Bron: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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(\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-29895","post","type-post","status-publish","format-standard","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47De neurale netwerk van Nvidia verandert eenvoudige schetsen in mooie landschappen | ProHoster","description":"De roker waterval 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