I'm curious about the advances in the area of image super-resolution (SR) that have given the best results to date, both perceptually (visually pleasing) and objectively (e.g. PSNR, SSIM criterias). I'm mostly talking about Single Image SR (SISR), but I'm open to input on Multiple Image SR as well.
From what I've researched, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network looks like the one, at least as far as SISR goes. However, I am unsure as to what alternatives are out there, that come close or maybe even surpass it (both in the field of neural networks and other, more traditional fields).
If this reaches anyone's interest but my own, perhaps this can be a question that gets new answers as time and advances move forward.