9 citations · 27 across the 6 of their papers we have counts for
6 papers
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
Juan Song, Jiaxiang He, Lijie Yang +2
Diffusion probabilistic models have recently achieved remarkable success in generating high-quality images. However, balancing high perceptual quality and low distortion remains ch…
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
Shirui Huang, Keyan Wang, Huan Liu +2
Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress. In this work, we prop…
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li, Kai Zhang, Radu Timofte +108
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…
A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning
Yankun Yu, Huan Liu, Minghan Fu +3
Recently, there has been rapid and significant progress on image dehazing. Many deep learning based methods have shown their superb performance in handling homogeneous dehazing pro…
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing
Minghan Fu, Huan Liu, Yankun Yu +2
Hazy images are often subject to color distortion, blurring, and other visible quality degradation. Some existing CNN-based methods have great performance on removing homogeneous h…
Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing
Zheng Liu, Botao Xiao, Muhammad Alrabeiah +2
Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis. This paper proposes an end-to-end generative method for image…