The unique thing about astrophotography is that the subject that we are imaging is (relatively speaking) static. Any slight deviation, even the smallest detail, that is not structurally accurate is PAINFULLY obvious.
As an aside, we do use traditional neural networks for certain processing steps. Deconvolution and noise reduction are very common. However, these are only helping in correcting errors caused by viewing conditions. They are not the "imaginative" AI that you are dreading.
I had a feeling something like this was true, thank you for confirming it!
I would actually be more worried about a knowledgeable human engaging in clever Photoshop alterations, or pasting different images together. Is this an issue in astrophotography? Are there ways to easily detect this?
The unique thing about astrophotography is that the subject that we are imaging is (relatively speaking) static. Any slight deviation, even the smallest detail, that is not structurally accurate is PAINFULLY obvious.
As an aside, we do use traditional neural networks for certain processing steps. Deconvolution and noise reduction are very common. However, these are only helping in correcting errors caused by viewing conditions. They are not the "imaginative" AI that you are dreading.