DADE: difficulty-aware distillation-enhanced network for single image super-resolution
DADE is proposed, a difficulty-aware distillation-enhanced network for efficient super-resolution that substantially reduces the computational cost of super-resolution while maintaining reconstruction quality, with only negligible degradation in PSNR and SSIM, and at the same time greatly lowers the number of stored pa...