54 citations · 523 across the 37 of their papers we have counts for
8 papers · 1 filter
A New Journey from SDRTV to HDRTV
Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren +3
Nowadays modern displays are capable to render video content with high dynamic range (HDR) and wide color gamut (WCG). However, most available resources are still in standard dynam…
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…
Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network
Lu Xu, Yuwei Zhang, Ying Liu +5
Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health. Despite recent advances, CNN-based approaches typically…
Efficient Deep Image Denoising via Class Specific Convolution
Lu Xu, Jiawei Zhang, Xuanye Cheng +3
Deep neural networks have been widely used in image denoising during the past few years. Even though they achieve great success on this problem, they are computationally inefficien…
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric
Jinjin Gu, Haoming Cai, Haoyu Chen +3
Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent perceptual IR algorithms based on generative adversa…
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu, Haoming Cai, Haoyu Chen +3
Image quality assessment (IQA) is the key factor for the fast development of image restoration (IR) algorithms. The most recent IR methods based on Generative Adversarial Networks…
Image Formation Model Guided Deep Image Super-Resolution
Jinshan Pan, Yang Liu, Deqing Sun +4
We present a simple and effective image super-resolution algorithm that imposes an image formation constraint on the deep neural networks via pixel substitution. The proposed algor…
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
Guocheng Qian, Yuanhao Wang, Jinjin Gu +4
Imaging is usually a mixture problem of incomplete color sampling, noise degradation, and limited resolution. This mixture problem is typically solved by a sequential solution that…