Closed-loop matters: Dual regression networks for single image super-resolution

Y Guo, J Chen, J Wang, Q Chen… - Proceedings of the …, 2020 - openaccess.thecvf.com
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …
被引用次数：375 相关文章

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu… - guoyongcs.com
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution Page 1
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution Yong Guo …

Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao… - 2020 IEEE/CVF …, 2020 - store.computer.org
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …
[PDF] github.io

[PDF][PDF] Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu… - tanmingkui.github.io
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …
[PDF] archive.org

[PDF][PDF] Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu… - scholar.archive.org
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng… - arXiv preprint arXiv …, 2020 - arxiv.org
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu… - openreview.net
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …

Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao… - 2020 IEEE/CVF …, 2020 - ieeexplore.ieee.org
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …
[PDF] 180.76.120.163

[PDF][PDF] Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu… - 180.76.120.163
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Y Guo, J Chen, J Wang, Q Chen, J Cao… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Deep neural networks have exhibited promising performance in image super-resolution
(SR) by learning a nonlinear mapping function from low-resolution (LR) images to high …