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PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual
  Image Restoration

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

23 July 2020
Jinjin Gu
Haoming Cai
Haoyu Chen
Xiaoxing Ye
Jimmy S. J. Ren
Chao Dong
ArXivPDFHTML

Papers citing "PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration"

14 / 114 papers shown
Title
A Systematic Survey of Deep Learning-based Single-Image Super-Resolution
A Systematic Survey of Deep Learning-based Single-Image Super-Resolution
Juncheng Li
Zehua Pei
Wenjie Li
Guangwei Gao
Longguang Wang
Yingqian Wang
T. Zeng
31
46
0
29 Sep 2021
Learning Conditional Knowledge Distillation for Degraded-Reference Image
  Quality Assessment
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
Heliang Zheng
Huan Yang
Jianlong Fu
Zhengjun Zha
Jiebo Luo
23
41
0
18 Aug 2021
Image restoration quality assessment based on regional differential
  information entropy
Image restoration quality assessment based on regional differential information entropy
Zhiyu Wang
J. Zhuang
N. Xu
Sichao Ye
Jiangjian Xiao
Chengbin Peng
16
5
0
08 Jul 2021
Debiased Subjective Assessment of Real-World Image Enhancement
Debiased Subjective Assessment of Real-World Image Enhancement
Peibei Cao
Zhangyang Wang
Kede Ma
29
10
0
18 Jun 2021
Toward Interactive Modulation for Photo-Realistic Image Restoration
Toward Interactive Modulation for Photo-Realistic Image Restoration
Haoming Cai
Jingwen He
Qiao Yu
Chao Dong
GAN
21
18
0
07 May 2021
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu
Haoming Cai
Chao Dong
Jimmy S. J. Ren
Yu Qiao
...
Sewoong Ahn
Gwangjin Yoon
Koki Tsubota
Hiroaki Akutsu
Kiyoharu Aizawa
SupR
41
38
0
07 May 2021
(ASNA) An Attention-based Siamese-Difference Neural Network with
  Surrogate Ranking Loss function for Perceptual Image Quality Assessment
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessment
Seyed Mehdi Ayyoubzadeh
Ali Royat
15
13
0
06 May 2021
Perceptual Image Quality Assessment with Transformers
Perceptual Image Quality Assessment with Transformers
Manri Cheon
Sung-Jun Yoon
Byungyeon Kang
Junwoo Lee
ViT
20
111
0
30 Apr 2021
Region-Adaptive Deformable Network for Image Quality Assessment
Region-Adaptive Deformable Network for Image Quality Assessment
Shu Shi
Qingyan Bai
Ming Cao
Weihao Xia
Jiahao Wang
Yifan Chen
Yujiu Yang
30
20
0
23 Apr 2021
Designing a Practical Degradation Model for Deep Blind Image
  Super-Resolution
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Kaicheng Zhang
Christos Sakaridis
Luc Van Gool
Radu Timofte
47
572
0
25 Mar 2021
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using
  Tangential Views
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views
C. Ozcinar
A. Rana
14
1
0
25 Jan 2021
Learning-Based Quality Assessment for Image Super-Resolution
Learning-Based Quality Assessment for Image Super-Resolution
Tiesong Zhao
Yuting Lin
Yiwen Xu
Weiling Chen
Zhou Wang
19
27
0
16 Dec 2020
Image Quality Assessment for Perceptual Image Restoration: A New
  Dataset, Benchmark and Metric
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric
Jinjin Gu
Haoming Cai
Haoyu Chen
Xiaoxing Ye
Jimmy S. J. Ren
Chao Dong
34
43
0
30 Nov 2020
Interpreting Super-Resolution Networks with Local Attribution Maps
Interpreting Super-Resolution Networks with Local Attribution Maps
Jinjin Gu
Chao Dong
FAtt
SupR
23
210
0
22 Nov 2020
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