[10:48 Sun,28.March 2021 by Thomas Richter] |
The new episode of "Two Minute Papers" introduces a very interesting new DeepLearning project that can be used in several interesting ways for creative work, as it specializes in generating high-resolution photorealistic images.
Although Open AI&s GPT-3, which is based on Transformer network algorithms and has achieved some notoriety ( ![]() The ![]() ![]() Image Generation by Depth Map Based on the learned image material, the new algorithm can generate arbitrary matching images and 3D objects from simple depth maps as well as photorealistic landscape images from a schematic sketch (here sky, there water and mountains), conjure up detailed versions from blurred images via superresolution, generate photos of people assuming a pose given by a sketch or add the cropped half of photos. ![]() Image generation of landscapes per sketch ![]() Superresolution ![]() Landscapes supplemented As always, Károly Zsolnai-Fehér also documents the astonishingly fast development of the various AI algorithms by means of comparisons - what was possible more or less poorly a year ago is now already passable and one or two projects and further developments later already almost perfectly possible. ![]() deutsche Version dieser Seite: Neue KI generiert photorealistische Bilder auf Wunsch |
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