Most of us like to make and see beautiful images. But it's hard to "make" a nice picture all at once without modification". photo-shop" . Except with artificial intelligence.

But how do you spot these changes? With 2 deep learning algorithms, it's possible.

PSCCNET: Identify modifications to an image

This algorithm (PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization) is ideal for detecting modifications to images. It can detect copy-paste, add, modify and delete.

Let's take an example:

TRUFOR: Spotting images generated by artificial intelligence (AI)

This algorithm (TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization) to detect modifications, and is particularly effective in detecting images generated by artificial intelligence.

Let's take an example:

Conclusion: Can we really detect images that have been modified or generated by artificial intelligence?

Of course, these algorithms are not perfect and there will be always false positives and true negatives. On the other hand, it's interesting to see that, overall, these algorithms manage to detect very well image modifications.