2 Posts

Examples of recognition of real and fake images

Fake Detector: Using a discriminator network to spot deepfakes

AI’s ability to produce synthetic pictures that fool humans into believing they’re real has spurred a race to build neural networks that can tell the difference. Recent research achieved encouraging results.
Examples of finished virtual pencil sketches (shoe and headshot)

Unfinished Artwork? No More

Generative networks can embroider sentences into stories and melodies into full-fledged arrangements. A new model does something similar with drawings.

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