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Two Minute Papers · 发布于 2016年11月19日
The Ishikawa Watanabe Laboratory, the University of Tokyo laboratory has all rights to the materials shown in the video. The paper "Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup" and its online demo is available here: http://hi.cs.waseda.ac.jp/~esimo/en/research/sketch/ http://hi.cs.waseda.ac.jp:8081/ Recommended for you: Rocking Out With Convolutions - https://www.youtube.com/watch?v=JKYQOAZRZu4 Separable Subsurface Scattering - https://www.youtube.com/watch?v=72_iAlYwl0c WaveNet by Google DeepMind - https://www.youtube.com/watch?v=CqFIVCD1WWo WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Julian Josephs, Daniel John Benton, Dave Rushton-Smith, Benjamin Kang. https://www.patreon.com/TwoMinutePapers Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz Image credits: Bitmap and vector images (two of them): Wikipedia - https://en.wikipedia.org/wiki/Vector_graphics and https://en.wikipedia.org/wiki/Image_tracing Image resolution: Wikipedia - https://en.wikipedia.org/wiki/Image_resolution Vectorization: Wikipedia - https://en.wikipedia.org/wiki/Image_tracing Thumbnail background - https://pixabay.com/photo-1281718/ Music: Dat Groove by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.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/
