  This paper reviews the NTIRE 2024 challenge on image super-resolution
($\times$4), highlighting the solutions proposed and the outcomes obtained. The
challenge involves generating corresponding high-resolution (HR) images,
magnified by a factor of four, from low-resolution (LR) inputs using prior
information. The LR images originate from bicubic downsampling degradation. The
aim of the challenge is to obtain designs/solutions with the most advanced SR
performance, with no constraints on computational resources (e.g., model size
and FLOPs) or training data. The track of this challenge assesses performance
with the PSNR metric on the DIV2K testing dataset. The competition attracted
199 registrants, with 20 teams submitting valid entries. This collective
endeavour not only pushes the boundaries of performance in single-image SR but
also offers a comprehensive overview of current trends in this field.
