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The "blob" problem roughly speaking is because using the style latent vector to normalize the generated image destroys useful information. Consequently, the generator learned to create a "distraction" by a large blob, which absorbs most of the effect of normalization (somewhat similar to using flares to distract a heat-seeking missile).
The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. [ citation needed ] This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator. [ 65 ]
There is free software on the market capable of recognizing text generated by generative artificial intelligence (such as GPTZero), as well as images, audio or video coming from it. [81] Potential mitigation strategies for detecting generative AI content include digital watermarking , content authentication , information retrieval , and machine ...
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