ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.07783
  4. Cited By
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and
  Results

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

18 November 2019
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Manuel Fritsche
Shuhang Gu
Kuldeep Purohit
Praveen Kandula
Maitreya Suin
A. N. Rajagopalan
Nam Hyung Joon
Yu Seung Won
Guisik Kim
Dokyeong Kwon
Chih-Chung Hsu
Chia-Hsiang Lin
Yuanfei Huang
Xiaopeng Sun
Wen Lu
Jie Li
Xinbo Gao
Sefi Bell-Kligler
    SupR
ArXivPDFHTML

Papers citing "AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results"

21 / 21 papers shown
Title
Towards Realistic Data Generation for Real-World Super-Resolution
Towards Realistic Data Generation for Real-World Super-Resolution
Long Peng
Wenbo Li
Renjing Pei
Jingjing Ren
Xueyang Fu
Yang Wang
Yang Cao
Zheng-Jun Zha
37
16
0
11 Jun 2024
EWT: Efficient Wavelet-Transformer for Single Image Denoising
EWT: Efficient Wavelet-Transformer for Single Image Denoising
Juncheng Li
Bodong Cheng
Ying Chen
Guangwei Gao
T. Zeng
ViT
22
22
0
13 Apr 2023
How Real is Real: Evaluating the Robustness of Real-World Super
  Resolution
How Real is Real: Evaluating the Robustness of Real-World Super Resolution
Athiya Deviyani
Efe Sinan Hoplamaz
Alan Savio Paul
SupR
24
0
0
22 Oct 2022
Criteria Comparative Learning for Real-scene Image Super-Resolution
Criteria Comparative Learning for Real-scene Image Super-Resolution
Yukai Shi
Hao Li
Senyang Zhang
Zhi Yang
Xiao Wang
SupR
18
14
0
26 Jul 2022
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Real-World Image Super-Resolution by Exclusionary Dual-Learning
Hao Li
Jinghui Qin
Zhi Yang
Pengxu Wei
Jin-shan Pan
Liang Lin
Yukai Shi
33
19
0
06 Jun 2022
Efficient and Degradation-Adaptive Network for Real-World Image
  Super-Resolution
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
Jie Liang
Huiyu Zeng
Lei Zhang
SupR
30
87
0
27 Mar 2022
Self-Supervised Learning for Real-World Super-Resolution from Dual
  Zoomed Observations
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
Zhilu Zhang
Ruohao Wang
Hongzhi Zhang
Yunjin Chen
W. Zuo
MDE
SupR
22
21
0
02 Mar 2022
Learning Multiple Probabilistic Degradation Generators for Unsupervised
  Real World Image Super Resolution
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution
Sangyun Lee
Sewoong Ahn
Kwangjin Yoon
76
5
0
26 Jan 2022
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic
  Super-resolution
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
Andreas Lugmayr
Martin Danelljan
F. I. F. Richard Yu
Luc Van Gool
Radu Timofte
20
14
0
05 Nov 2021
Blind Image Super-Resolution: A Survey and Beyond
Blind Image Super-Resolution: A Survey and Beyond
Anran Liu
Yihao Liu
Jinjin Gu
Yu Qiao
Chao Dong
28
160
0
07 Jul 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
13
18
0
07 May 2021
FAN: Frequency Aggregation Network for Real Image Super-resolution
FAN: Frequency Aggregation Network for Real Image Super-resolution
Yingxue Pang
Xin Li
Xin Jin
Yaojun Wu
Jianzhao Liu
Sen Liu
Zhibo Chen
25
25
0
30 Sep 2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei
Hannan Lu
Radu Timofte
Liang Lin
W. Zuo
...
Jun-Ho Choi
Jong-Seok Lee
Feras Almasri
T. Vandamme
O. Debeir
SupR
42
41
0
25 Sep 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
SupR
DRL
23
356
0
25 Jun 2020
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and
  Results
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
91
170
0
05 May 2020
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing
  Objects
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis
Andrés Romero
I. Kastanis
Luc Van Gool
Radu Timofte
VLM
23
75
0
10 Apr 2020
Unsupervised Real-world Image Super Resolution via Domain-distance Aware
  Training
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
Yunxuan Wei
Shuhang Gu
Yawei Li
Longcun Jin
23
123
0
02 Apr 2020
Fine-grained Attention and Feature-sharing Generative Adversarial
  Networks for Single Image Super-Resolution
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution
Yitong Yan
Chuangchuang Liu
Changyou Chen
Xianfang Sun
Longcun Jin
Xiang Zhou
GAN
25
51
0
25 Nov 2019
Frequency Separation for Real-World Super-Resolution
Frequency Separation for Real-World Super-Resolution
Manuel Fritsche
Shuhang Gu
Radu Timofte
30
221
0
18 Nov 2019
Unsupervised Image Super-Resolution with an Indirect Supervised Path
Unsupervised Image Super-Resolution with an Indirect Supervised Path
Zhen-Wen Han
Enyan Dai
Xu Jia
Xiaoying Ren
Shuaijun Chen
Chunjing Xu
Jianzhuang Liu
Qi Tian
29
44
0
07 Oct 2019
Unsupervised Learning for Real-World Super-Resolution
Unsupervised Learning for Real-World Super-Resolution
Andreas Lugmayr
Martin Danelljan
Radu Timofte
SSL
SupR
143
167
0
20 Sep 2019
1