Large model-guided multimodal face image super-resolution

Zhihao Jiang; Yuezhong Chu; Heng Liu

doi:10.1117/12.3035384

19 July 2024 Large model-guided multimodal face image super-resolution

Zhihao Jiang, Yuezhong Chu, Heng Liu

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132130J (2024) https://doi.org/10.1117/12.3035384
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

Aiming at the issue of single-image super-resolution methods relying solely on the input images of poor resolution, which struggle to reconstruct satisfactory results when the details in the low-resolution images are insufficient, this paper proposes a text-guided images of low quality. The shortcomings of inadequate information in images with low resolution are compensated for by introducing text information as prior knowledge into the network. Specifically, a multi-modal network structure is proposed, which utilizes a text-image cross-modal pre-trained large model to extract shallow image feature information of different modalities. After deep feature extraction, sub-pixel convolution is employed for magnifying the images and reconstruct high-quality images. Experimental results indicate that the proposed method can utilize text information to reconstruct abundant details missed in low-resolution image scenarios. NIQE and PI metrics confirm the superior super-resolution performance of the approach.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhihao Jiang, Yuezhong Chu, and Heng Liu "Large model-guided multimodal face image super-resolution", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132130J (19 July 2024); https://doi.org/10.1117/12.3035384

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KEYWORDS

Super resolution

Image quality

Feature extraction

Image restoration

Image fusion

Transformers

Education and training

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