![]() This one is much smoother around the edges, produces better imagery, and can run on any Windows computer with a decent Nvidia graphics card. It’s pretty much a more user-friendly version of the prototype GauGAN (get it?) shown at CVPR in 2019. These work together to make what they think is a fairly realistic depiction of what’s been suggested. GANs essentially pass content back and forth between a creator AI that tries to make (in this case) a realistic image and a detector AI that evaluates how realistic that image is. ![]() When colors are blobbed onto the canvas, the crude sketch is passed to a generative adversarial network. Nvidia’s new Canvas tool lets the creator rough in a landscape like paint-by-numbers blobs, then fills it in with convincingly photorealistic (if not quite gallery-ready) content.Įach distinct color represents a different type of feature: mountains, water, grass, ruins, etc. But the latest tools are aimed at letting an AI give artists a hand from the earliest, blank-canvas stages of a piece. AI has been filling in the gaps for illustrators and photographers for years now - literally, it intelligently fills gaps with visual content.
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