What an amazing idea :)

They reproject the input images and run the low-res network multiple times. Then they use an approach similar to NeRF to merge the knowledge from those reprojected images into a super-resolution result.

So in a way, this is quite similar to how modern Pixel phones can take a burst of frames and merge them into a final image that has a higher resolution than the sensor. Except that they run useful AI processing in between and then do the super-resolution merge on the results.