Shih explains a new algorithm that can spruce your selfie


June 16, 2014

A new algorithm could transfer acclaimed photographers’ signature styles to cellphone photos. Celebrated portrait photographers like Richard Avedon, Diane Arbus, and Martin Schoeller made their reputations with distinctive visual styles that sometimes required the careful control of lighting possible only in the studio. Now MIT researchers, and their colleagues at Adobe Systems and the University of Virginia, have developed an algorithm that could allow you to transfer those distinctive styles to your own cellphone photos. They’ll present their findings in August at Siggraph, the premier graphics conference.

“Style transfer” is a thriving area of graphics research — and, with Instagram, the basis of at least one billion-dollar company. But standard style-transfer techniques tend not to work well with close-ups of faces, says YiChang Shih, an MIT graduate student in electrical engineering and computer science and lead author on the Siggraph paper. Continue reading on MIT News.

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