From Doodles To Paintings With Deep Learning | Two Minute Papers #57
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From Doodles To Paintings With Deep Learning | Two Minute Papers #57

Two Minute Papers 04.04.2016 36 828 просмотров 1 019 лайков

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This technique uses deep learning to create beautiful paintings from terribly drawn sketches. The results look so great that many people called this work out to be an April Fools' day joke! _________________________________ The paper 'Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artwork' and its implementation is available here: https://github.com/alexjc/neural-doodle http://arxiv.org/pdf/1603.01768v1.pdf A playlist with out neural network and deep learning-related videos: https://www.youtube.com/playlist?list=PLujxSBD-JXglGL3ERdDOhthD3jTlfudC2 WE WOULD LIKE TO THANK OUR GENEROUS SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Vinay S. https://www.patreon.com/TwoMinutePapers Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz Music: John Stockton Slow Drag by Chris Zabriskie is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Source: http://chriszabriskie.com/uvp/ Artist: http://chriszabriskie.com/ Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Facebook → https://www.facebook.com/TwoMinutePapers/ Twitter → https://twitter.com/karoly_zsolnai Web → https://cg.tuwien.ac.at/~zsolnai/

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dear fellow Scholars this is two minute papers with K this is the first paper in two-minute papers that showcased so stunning results that people called it out to be an April Fool's Day joke it is based on a deep neural network and the concept is very simple you choose an artistic style you make a terrible drawing and it creates a beautiful painting out of it if you would like to know more about deep neural networks we've had a ton of fun with them in previous episodes I've put a link to them in the Des description box I expect an onslaught of magnificent results with this technique to appear very soon it is important to note that one needs to create a semantic map for each artistic style so that the algorithm learns the correspondence between the painting and the semantics however these maps have to be created only once and can be used forever so I expect quite a few of them to show up in the near future which greatly simplifies the workflow after that these annotations can be changed at will you press a button and the rest is history whoa Wicked results some of these neural art results look so good that we should be creating a new class of touring test for paintings this means that we are presented with two images one of them is painted by a human and one by a computer we need to click the ones that we think were painted by a human damn curses as always these techniques are new and heavily experimental and this usually means that they take quite a bit of time to compute the presentation video you have seen was sped up considerably if these works are worthy of further attention and I definitely think they are then we can expect great strides towards interactivity in follow-up papers very soon I am really looking forward to it and we fellow Scholars will have a ton of fun with these tools in the future thanks for watching and for your generous support and I'll see you next time

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