62 citations · 284 across the 21 of their papers we have counts for
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Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution
Ruohao Wang, Xiaohui Liu, Zhilu Zhang +4
Video super-resolution (VSR) aiming to reconstruct a high-resolution (HR) video from its low-resolution (LR) counterpart has made tremendous progress in recent years. However, it r…
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution
Xiaoming Li, Chaofeng Chen, Xianhui Lin +2
How to design proper training pairs is critical for super-resolving real-world low-quality (LQ) images, which suffers from the difficulties in either acquiring paired ground-truth…
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution
Jianqi Ma, Zhetong Liang, Lei Zhang
Scene text image super-resolution aims to increase the resolution and readability of the text in low-resolution images. Though significant improvement has been achieved by deep con…
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
Shi Guo, Xi Yang, Jianqi Ma +2
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data. Recently, joint denoising and demosaicking (JDD) for burst images, nam…
Efficient Long-Range Attention Network for Image Super-resolution
Xindong Zhang, Hui Zeng, Shi Guo +1
Recently, transformer-based methods have demonstrated impressive results in various vision tasks, including image super-resolution (SR), by exploiting the self-attention (SA) for f…
Unfolded Deep Kernel Estimation for Blind Image Super-resolution
Hongyi Zheng, Hongwei Yong, Lei Zhang
Blind image super-resolution (BISR) aims to reconstruct a high-resolution image from its low-resolution counterpart degraded by unknown blur kernel and noise. Many deep neural netw…