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 use…
Perhaps similar in some ways to how big cats' eyes reflect the light back from behind the retina (i.e. back through it for a second pass) to capture more light. I'm sure I heard that on a nature documentary ...