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GANS and Neural Networks
There are certain classes of image for which the traditional algorithms like content aware fill work really well. Where it gets complicated is if you have to infer invisible structure behind the person in front. And so what GANS and neural nets bring to the table is this common sense learnt from the training set. The challenge right now is that the generative methods that can make up missing holes using that kind of technology are still only stable at low resolutions.