I’d argue the opposite. The geometry involved in reconciling photos from two separate lenses with different focal lengths is quite challenging. If you pay close attention you will see some differences in the before/after samples in the site (for example the ear in that kitchen selfie).

The math is surely more complex than aligning same-lens photography even when you consider the change in angle and perspective between two shots from the same lens.

Ah yes, how could I forget the ARGUS-IS, a household staple of the early 21st century. Those were the days...

The related paper (2019): https://google.github.io/night-sight/

Google has some great blogs about their camera technology https://research.google/blog/night-sight-seeing-in-the-dark-...

It's a paid app that I literally have, and all it does is take multiple photos and composite them together. It can either naïvely average them together in-place like a traditional long exposure, or align them using machine learning. I'm actually appalled they use the term "AI" considering who they are but that doesn't matter, it's ML. I don't use any of the animation crap, but the aligned long exposures can be useful for ultrawide takes since that camera is so noisy.

Edit: actually I can't seem to find the setting that aligns them. I seem to remember it being able to do that but maybe it doesn't... which would be disappointing...