1k citations · 1.7k across the 35 of their papers we have counts for
5 papers · 1 filter
Unsupervised Degradation Learning for Single Image Super-Resolution
Tianyu Zhao, Wenqi Ren, Changqing Zhang +2
Deep Convolution Neural Networks (CNN) have achieved significant performance on single image super-resolution (SR) recently. However, existing CNN-based methods use artificially sy…
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study
Yu Liu, Guanlong Zhao, Boyuan Gong +8
Here we explore two related but important tasks based on the recently released REalistic Single Image DEhazing (RESIDE) benchmark dataset: (i) single image dehazing as a low-level…
Learning to Deblur Images with Exemplars
Jinshan Pan, Wenqi Ren, Zhe Hu +1
Human faces are one interesting object class with numerous applications. While significant progress has been made in the generic deblurring problem, existing methods are less effec…
Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
Siyuan LI, Wenqi Ren, Jiawan Zhang +2
Rain effect in images typically is annoying for many multimedia and computer vision tasks. For removing rain effect from a single image, deep leaning techniques have been attractin…
Gated Fusion Network for Single Image Dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang +4
In this paper, we propose an efficient algorithm to directly restore a clear image from a hazy input. The proposed algorithm hinges on an end-to-end trainable neural network that c…