Is there any AI-distinguishing models?

Submitted by Such_Share8197 t3_10wnex1 in deeplearning

Hi I'm now working on a project to host a service that distinguish between human-generated image and AI-generated image.

But just binary classification model doesn't work well on classifying those two.

Please let me know if there's any deep learning models or papers like that.

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levand t1_j7o5zeb wrote

This is inherently a super hard problem, because (to oversimplify) the loss function of any AI generating NN is to minimize the difference between a human generated and AI generated images. So the state of the art for detection & generation is always going to be pretty close.

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enterthesun t1_j7uqcx7 wrote

You’re correct that the state of the arts will be close but that doesn’t mean that detection cannot train and predict on generated data. It’s like using synthetic data.

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nutpeabutter t1_j7os2xj wrote

Just because it can imitate doesn't mean it can do so perfectly.

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DMLearn t1_j7pq8wc wrote

The model is trained by getting rewarded for fooling a model that tries to distinguish between the real and fake images. So no, it won’t be perfect, but it’s going to be good enough to trick a model the vast majority of the time because that is literally a part of the training. Not just a small part, that’s is the central tenet of the training and optimization of generative models, generative ADVERSARIAL networks.

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nutpeabutter t1_j7rxvb8 wrote

Your argument falls apart when you realize that there are training artifacts. Ever wonder why FID scales inversely with model size?

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