images rather than you know just garbage that's different from the training set and I don't think we really have a good answer for that especially if you think about how many possible images are out there and how few images the generative model sees during training it seems just unreasonable that generative models create new images as well as they do especially considering that we're basically training them to memorize rather than generalize I think part of the answer is there's a paper called deep image prior where they show that