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arXiv · 2312.01644

TMSR: Tiny Multi-path CNNs for Super Resolution

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

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.

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Chia-Hung Liu, Tzu-Hsin Hsieh, Kuan-Yu Huang, Pei-Yin Chen. 2023-12-04. TMSR: Tiny Multi-path CNNs for Super Resolution. https://arxiv.org/abs/2312.01644

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