Fine-grained attention and feature-sharing generative adversarial networks for single image super-resolution

Y Yan, C Liu, C Chen, X Sun, L Jin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traditional super-resolution (SR) methods by minimize the mean square error usually
produce images with over-smoothed and blurry edges, due to the lack of high-frequency …
被引用次数：57 相关文章

Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution

Y Yan, C Liu, C Chen, X Sun, L Jin, X Zhou - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
The traditional super-resolution methods that aim to minimize the mean square error usually
produce the images with over-smoothed and blurry edges, due to the lose of high-frequency …

Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution

Y Yan, C Liu, C Chen, X Sun, L Jin… - IEEE Transactions …, 2022 - scholars.cityu.edu.hk
Traditional super-resolution (SR) methods by minimize the mean square error usually
produce images with oversmoothed and blurry edges, due to the lack of high-frequency …

Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution

Y Yan, C Liu, C Chen, X Sun, L Jin, X Zhou - arXiv preprint arXiv …, 2019 - arxiv.org
The traditional super-resolution methods that aim to minimize the mean square error usually
produce the images with over-smoothed and blurry edges, due to the lose of high-frequency …

Fine-grained attention and feature-sharing generative adversarial networks for single image super-resolution

Y Yan, C Liu, C Chen, X Sun, L Jin… - IEEE Transactions on …, 2022 - orca.cardiff.ac.uk
Traditional super-resolution (SR) methods by minimize the mean square error usually
produce images with oversmoothed and blurry edges, due to the lack of high-frequency …

Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution

Y Yan, C Liu, C Chen, X Sun, L Jin, X Peng… - IEEE Transactions on …, 2022 - dl.acm.org
Traditional super-resolution (SR) methods by minimize the mean square error usually
produce images with over-smoothed and blurry edges, due to the lack of high-frequency …

Fine-grained attention and feature-sharing generative adversarial networks for single image super-resolution

Y Yan, C Liu, C Chen, X Sun, L Jin… - IEEE Transactions on …, 2022 - orca.cardiff.ac.uk
Traditional super-resolution (SR) methods by minimize the mean square error usually
produce images with oversmoothed and blurry edges, due to the lack of high-frequency …