Date Posted: 4/05/2017

CS Prof Kavita Bala and PhD student Fujun Luan, along with collaborators from Adobe, Sylvain Paris and Eli Shechtman, have released a new paper, “Deep Photo Style Transfer,” which will be presented at CVPR in July 2017. The paper shows how the researchers have augmented style transfer so that it can transfer the look of one photo onto another using neural networks to make sure the details of the original image are preserved. The paper release on github is garnering much media attention and it has trended to the top repository on github last week.

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