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.
DMLearn t1_j7pq8wc wrote
Reply to comment by nutpeabutter in Is there any AI-distinguishing models? by Such_Share8197
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.