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Two Minute Papers · 发布于 2015年10月3日
Machine learning techniques such as deep learning artificial neural networks had proven to be extremely useful for a variety of tasks that were previously deemed very difficult, or even impossible to solve. In this work, a deep learning technique is used to learn how different light source positions affect a scene and create ("guess") new photographs with unknown light source positions. The results are absolutely stunning. The promised links for artificial neural networks follow below. __________________________________ The paper "Image Based Relighting Using Neural Networks" is available here: http://research.microsoft.com/en-us/um/people/yuedong/project/neuralibr/neuralibr.htm Disclaimer: I was not part of this research project, I am merely providing commentary on this work. Recommended for you: Artificial Neural Networks and Deep Learning - https://www.youtube.com/watch?v=rCWTOOgVXyE Deep Neural Network Learns Van Gogh's Art - https://www.youtube.com/watch?v=-R9bJGNHltQ Music: "The Place Inside" by Silent Partner Subscribe if you would like to see more of these! - http://www.youtube.com/subscription_center?add_user=keeroyz Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu The thumbnail background was taken from the paper "Image Based Relighting Using Neural Networks". Károly Zsolnai-Fehér's links: Patreon → https://www.patreon.com/TwoMinutePapers Facebook → https://www.facebook.com/TwoMinutePapers/ Web → https://cg.tuwien.ac.at/~zsolnai/ Twitter → https://twitter.com/karoly_zsolnai
