Why are hands difficult for ai images?

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Why are hands difficult for ai images?

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An AI is not a mind. In essence it is a pattern-matching algorithm that is trained on images and gains a model of what things tend to accompany each other in a lot of images. For example the AI doesn’t know what a tree is but it can learn that images of leaves tend to be clustered in certain ways associated with a trunk and with a particular orientation to the ground, etc.

Since it is all a big combination of matched patterns without any real understanding of what the patterns are, hands are a significant problem. Fingers tend to appear in images near other fingers, but their orientation with regard to each other varies significantly. Furthermore the number of fingers which are visible in a given image can vary as well, since many positions of the hand block the view of some of the fingers. The number of fingers is also very precise; only 5 per hand, no more and no less.

With that in mind it is very easy to spot something odd when AI is creating an image of hands. Nobody is going to notice if a tree has an unusually high or low number of leaves as there isn’t particular number to hit. Also the orientation of leaves can vary significantly and the tree will still look acceptable, but not so for fingers.

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