Analysis of performance difference when using knowledge distillation of efficient CNN-based super-resolution algorithm

Abstract

In this paper, we used RLFN, the NTIRE 2022 Efficient Super-Resolution Challenge winning model, to implement a lightweight and efficient super-resolution algorithm. We also apply knowledge distillation in a partially modified form of the PISR framework and analyze the qualitative and quantitative results to improve the performance while maintaining the cost of RLFN.