Paper ID: 2312.01644

TMSR: Tiny Multi-path CNNs for Super Resolution

Chia-Hung Liu, Tzu-Hsin Hsieh, Kuan-Yu Huang, Pei-Yin Chen

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.

Submitted: Dec 4, 2023