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You are here: Home / Featured news / Machine-Learning At Siggraph Changes the Weather and Other Aspects of an Image

Machine-Learning At Siggraph Changes the Weather and Other Aspects of an Image

August 10, 2014 by Rob Farber Leave a Comment

More machine-learning at Siggraph.  A paper describing a machine-learning method  being developed a Brown University  enables users to instantly change the weather, time of day, season, or other features in outdoor photos with simple text commands. Changing the weather in a photo involves much more than simply turning a blue sky gray. There are subtle changes in color and contrast that happen across the entire photo — changes that would normally require a skilled photo editor to fully replicate. Machine-learning makes  all those subtle changes in one swoop. The paper, “Transient Attributes for High-Level Understanding and Editing of Outdoor Scenes”,  is available at http://transattr.cs.brown.edu/. 

Authors on the paper include (links provided when possible):

  • Pierre-Yves Laffont
  • Zhile Ren
  • Xiaofeng Tao
  • Chao Qian
  • James Hays

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