Creating Photographs Using Deep Learning | Two Minute Papers #13

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.

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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

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Splash screen/thumbnail design: Felícia Fehér – http://felicia.hu
The thumbnail background was taken from the paper “Image Based Relighting Using Neural Networks”.

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