AI-generated data - progressive artifact amplification (IMAGE)
Caption
Generative artificial intelligence (AI) models trained on synthetic data generate outputs that are progressively marred by artifacts. In this example, the researchers trained a succession of StyleGAN-2 generative models using fully synthetic data. Each of the six image columns displays a couple of examples generated by the first, third, fifth and ninth generation model, respectively. With each iteration of the loop, the cross-hatched artifacts become progressively amplified.
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(Image courtesy of Digital Signal Processing Group/Rice University)
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Must credit Digital Signal Processing Group/Rice University
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