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Qian Ning

2 accepted papers

2022

Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution

IJCAI 2022poster

Acquiring degraded images with paired high-resolution (HR) images is often challenging, impeding the advance of image super-resolution in real-world applications. By generating realistic low-resolution (LR) images with degradation similar to that in real-world scenarios, simulated paired LR-HR data…

Cited by 13SourcePDFScholar
2021

Uncertainty-Driven Loss for Single Image Super-Resolution

NeurIPS 2021poster

In low-level vision such as single image super-resolution (SISR), traditional MSE or L_1 loss function treats every pixel equally with the assumption that the importance of all pixels is the same. However, it has been long recognized that texture and edge areas carry more important visual informatio…

Cited by 75SourcePDFScholar