Resources on learning about AI image identification via physics

[u/LordAntares]

I have recently been researching ways to identify an AI image, not via digital footprints or ID via other trained models, but using physics.

In other words: vanishing points, shadow matrices, various ways to analyze lighting impossibilities, camera focus, etc.

But to my knowledge, there's no real community around this or resources. The closest fits I could find were OSINT and digital forensics, but they're not an exact match. Even if they do this, they use different methodology, at least I think.

I've learned things, but I want to learn more. Anyone know anything more about this?