Soon, the model showcasing your online clothing purchases may not have actually made the pose in the picture. That’s because a neural network can now repose human beings and change their clothes in photographs without losing key details.
Badour AlBahar at Virginia Tech in Blacksburg and her colleagues developed an algorithm that breaks down a source image into constituent body parts, with a neural network identifying where key joints and limbs are. It is then fed the target pose of how the user wants the model to stand, before it identifies the new positions of relevant body parts.