  In this paper, we proposed a tiny multi-path CNN-based Super-Resolution (SR)
method, called TMSR. We mainly refer to some tiny CNN-based SR methods, under
5k parameters. The main contribution of the proposed method is the improved
multi-path learning and self-defined activated function. The experimental
results show that TMSR obtains competitive image quality (i.e. PSNR and SSIM)
compared to the related works under 5k parameters.
