A group of researchers and engineers from UC San Diego and Google have trained a neural network to "relight" portraits after the fact "according to any provided environment map." In other words: their system can take any photo and adjust the lighting at will—including the direction, temperature, and quality of the light.
What if your camera could professionally retouch your photos... before you even shoot them? That's what researchers at Google and MIT are currently working on.
There are many reason high-quality lenses cost as much as they do (and in some cases that is quite a lot), and one of them is that high-end lenses use many specially-designed elements that are perfectly-positioned to counteract aberrations and distortions.
But what if you could correct for all of that in post? Automatically? With just the click of a button? You could theoretically use a crappy lens and generate high-end results. Well, that's what researchers at the University of British Columbia are working on, and so far their results are very promising.
If you were wanting to have your mind blown today, the video above might do it. It's a demonstration of a piece of 3D object extraction and manipulation software that made its debut at SIGGRAPH 2013, and it may just offer a glimpse into the future of photo manipulation.
Researchers at Cornell University recently developed a new piece of software in conjunction with Adobe that could some day help amateurs and professionals alike exert more control over how exactly certain static scenes are lit.
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At SIGGRAPH 2010 in Los Angeles last month, Microsoft researchers showed off some new technology that improves existing digital blur reduction techniques by outfitting a camera with motion detecting sensors.
The team created an off-the-shelf hardware attachment consisting of a three-axis accelerometer, three gyroscopes, and a Bluetooth radio, attaching the setup to a Canon 1Ds Mark III camera. The researchers then created a software algorithm to use the motion information captured during the exposure to do "dense, per-pixel spatially-varying image deblurring".