9.2k citations · 11k across the 18 of their papers we have counts for
18 papers
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Meisong Zheng +75
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
Zhilu Zhang, Ruohao Wang, Hongzhi Zhang +2
In this paper, we consider two challenging issues in reference-based super-resolution (RefSR), (i) how to choose a proper reference image, and (ii) how to learn real-world RefSR in…
Learning Generic Diffusion Processes for Image Restoration
Peng Qiao, Yong Dou, Yunjin Chen +1
Image restoration problems are typical ill-posed problems where the regularization term plays an important role. The regularization term learned via generative approaches is easy t…
Speckle Reduction with Trained Nonlinear Diffusion Filtering
Wensen Feng, Yunjin Chen
Speckle reduction is a prerequisite for many image processing tasks in synthetic aperture radar (SAR) images, as well as all coherent images. In recent years, predominant state-of-…
Learning Non-local Image Diffusion for Image Denoising
Peng Qiao, Yong Dou, Wensen Feng +1
Image diffusion plays a fundamental role for the task of image denoising. Recently proposed trainable nonlinear reaction diffusion (TNRD) model defines a simple but very effective…
Image Denoising via Multi-scale Nonlinear Diffusion Models
Wensen Feng, Peng Qiao, Xuanyang Xi +1
Image denoising is a fundamental operation in image processing and holds considerable practical importance for various real-world applications. Arguably several thousands of papers…