"In this work, we aim to transform blurry, low-resolution images into sharp, realistic, high-resolution images," the report said. The Duke team acknowledges the entertainment value of PULSE, but notes that it should prove useful, practically and economically, in an era of greater degrees of exploration and research. Response on Twitter was immediate as users uploaded their own results of often humorous representations of characters from classic games such as Steve and a Creeper from Minecraft, Mario from Super Mario, and Link from Legend of Zelda. The PULSE system can convert a 16 pixel x 16 pixel image into a 1024 pixel by 1024 pixel image in seconds.Īlong with their findings, the team uploaded PULSE to GitHub and encouraged experimentation.ĭenis Malimonov, a Russian developer, built and distributed his own app last week called Face Depixelizer. That means their algorithm for constructing lifelike faces draws from massive datasets of images of real people. "Instead of starting with the low resolution image and slowly adding detail, PULSE traverses the high-resolution natural image manifold, searching for images that downscale to the original low resolution image," the report stated.
In their research paper distributed earlier this year, the team explained how their approach differed from earlier efforts to generate lifelike images from 8-bit imagery.
PULSE, Photo Upsampling via Latent Space Exploration, was created by Duke researchers to create more realistic images from low-pixel source data.
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