A prior-guided face image super-resolution network based on attention mechanism

Yun Liu; Remina Yano; Hiroshi Watanabe; Takuya Suzuki; Zheming Fan; Takeshi Chujoh; Tomohiro Ikai

doi:10.1117/12.2666732

25 March 2023 A prior-guided face image super-resolution network based on attention mechanism

Yun Liu, Remina Yano, Hiroshi Watanabe, Takuya Suzuki, Zheming Fan, Takeshi Chujoh, Tomohiro Ikai

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 1259213 (2023) https://doi.org/10.1117/12.2666732
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

In this paper, we propose a face image super-resolution method, aiming to reconstruct high quality face images from a low resolution input. The proposed method introduces an attentional multi-scale feature fusion block, which aims to improve the representation power of the neural network by emphasizing the important feature maps and suppressing the unimportant ones. In addition, the facial prior information is utilized by adding a separate prior branch, an hourglass structure is used. Experiments show that the face images reconstructed by the proposed method exhibit noticeable quality improvement compared to the low-resolution images and other SR approaches.

Citation Download Citation

Yun Liu, Remina Yano, Hiroshi Watanabe, Takuya Suzuki, Zheming Fan, Takeshi Chujoh, and Tomohiro Ikai "A prior-guided face image super-resolution network based on attention mechanism", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 1259213 (25 March 2023); https://doi.org/10.1117/12.2666732

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