Artificial intelligence () is perceived by most people as cutting-edge technology, helping to build the future, but few people realize that the same technology can help to recreate the past.
Mix, , neural networks and big data, and get amazing results. Now available to all algorithms help to restore old photos, but someday they will be able to play in virtual reality the whole picture of the past. Here are a few examples of existing research in the field of which help in one form or another to recapture the past.
Tears and folds on the historical photos? Scratches on photos in the family album? Artificial intelligence can do everything to fix it.
At the moment there are several projects in the field of and , which can take your old worn or torn photos and turn it into new.
Thus, the project of Deep Image Prior, developed by Oxford University, is able not only to remove the noise or to take pictures more clear, but also to fill the whole large gaps in the image. The algorithm for image reconstruction from Nvidia, demonstrated in April of this year, is trained to restore a photo using the open galleries, like ImageNet, Places2 or CelebA-HQ.
Similar algorithms are used for the restoration of old paintings with oil paint. The learns to distinguish between cracks and other damage to the paint from brush strokes and other features of the style of a particular artist. He then restores the state of the painting to the original. The same applies to recreate the original colors. During the years of paint fade and become dimmer. Thanks to clever algorithms, we have the opportunity to see the look on a canvas hundreds of years ago, when it was written.
Another use for in the field of classical painting – detecting the fakes. In 2017, researchers at Rutgers University have created an algorithm that is able with absolute precision to distinguish a fake from the original work of one or another famous author. This algorithm learns the fine details of the artist’s style. As shown by experiments, the is not wrong, even in cases where mistakes best human experts and critics.
Also, scientists have used in order to understand how dinosaurs lived.
For example, a smart algorithm helped to dispel one of the myths. Scientists fed the algorithm the available data on bone and muscle structure of a Tyrannosaurus Rex. In response, the algorithm gave a realistic model of the motion of this worm. It turned out that such large animals could not move too fast. That is, the t-Rex couldn’t chase the car as it was shown in “Jurassic Park”.[…]