New AI Model Fills in Blank Spots in Photos
New AI Model Fills in Blank Spots in Photos
Published on February 18, 2018 at 02:43PM
A new technology uses artificial intelligence to generate synthetic images that can pass as real. From a report, shared by a reader (it may be paywalled): The technology was developed by a team led by Hiroshi Ishikawa, a professor at Japan's Waseda University. It uses convolutional neural networks, a type of deep learning, to predict missing parts of images. The technology could be used in photo-editing apps. It can also be used to generate 3-D images from real 2-D images. The team at first prepared some 8 million images of real landscapes, human faces and other subjects. Using special software, the team generated numerous versions for each image, randomly adding artificial blanks of various shapes, sizes and positions. With all the data, the model took three months to learn how to predict the blanks so that it could fill them in and make the resultant images look identical to the originals. The model's learning algorithm first predicts and fills in blanks. It then evaluates how consistent the added part is with its surroundings.
A Texas hospital announced the successful operation separating twin baby girls who were conjoined at the chest and abdomen.
Published on February 18, 2018 at 02:43PM
A new technology uses artificial intelligence to generate synthetic images that can pass as real. From a report, shared by a reader (it may be paywalled): The technology was developed by a team led by Hiroshi Ishikawa, a professor at Japan's Waseda University. It uses convolutional neural networks, a type of deep learning, to predict missing parts of images. The technology could be used in photo-editing apps. It can also be used to generate 3-D images from real 2-D images. The team at first prepared some 8 million images of real landscapes, human faces and other subjects. Using special software, the team generated numerous versions for each image, randomly adding artificial blanks of various shapes, sizes and positions. With all the data, the model took three months to learn how to predict the blanks so that it could fill them in and make the resultant images look identical to the originals. The model's learning algorithm first predicts and fills in blanks. It then evaluates how consistent the added part is with its surroundings.
Read more of this story at Slashdot.
A Texas hospital announced the successful operation separating twin baby girls who were conjoined at the chest and abdomen.
New AI Model Fills in Blank Spots in Photos
![New AI Model Fills in Blank Spots in Photos]()
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February 18, 2018
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