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. 2012.08103
  4. Cited By
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local
  Adjustment

KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment

15 December 2020
Seunggeun Kim
Hyeonjun Sim
Munchurl Kim
    SupR
ArXivPDFHTML

Papers citing "KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment"

21 / 21 papers shown
Title
Frequency-domain Learning with Kernel Prior for Blind Image Deblurring
Frequency-domain Learning with Kernel Prior for Blind Image Deblurring
Jixiang Sun
Fei Lei
Jiawei Zhang
Wenxiu Sun
Yujiu Yang
36
0
0
20 Apr 2025
KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion
KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion
Oliver Heinimann
Assaf Shocher
Tal Zimbalist
Michal Irani
DiffM
SupR
53
0
0
27 Mar 2025
Spatially-Variant Degradation Model for Dataset-free Super-resolution
Spatially-Variant Degradation Model for Dataset-free Super-resolution
Shaojie Guo
Haofei Song
Qingli Li
Yan Wang
21
1
0
11 Jul 2024
Preserving Full Degradation Details for Blind Image Super-Resolution
Preserving Full Degradation Details for Blind Image Super-Resolution
Hongda Liu
Longguang Wang
Ye Zhang
Kaiwen Xue
Shunbo Zhou
Yulan Guo
42
0
0
01 Jul 2024
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo
  Simulation
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
Jingyuan Xia
Zhixiong Yang
Shengxi Li
Shuanghui Zhang
Yaowen Fu
Deniz Gündüz
Xiang Li
SupR
BDL
31
24
0
13 Jun 2024
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind
  Image Super-Resolution
CDFormer:When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
Qingguo Liu
Chenyi Zhuang
Pan Gao
Jie Qin
32
2
0
13 May 2024
Deep learning-based blind image super-resolution with iterative kernel
  reconstruction and noise estimation
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
H. Ateş
S. Yildirim
B. Gunturk
SupR
28
16
0
25 Apr 2024
Learning Correction Errors via Frequency-Self Attention for Blind Image
  Super-Resolution
Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution
Haochen Sun
Yan Yuan
Lijuan Su
Hao-Yu Shao
41
1
0
12 Mar 2024
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with
  Diffusion Model for Blind Image Super-Resolution
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
Junxiong Lin
Yan Wang
Zeng Tao
Boyang Wang
Qing Zhao
...
Yuxuan Lin
Wei Song
Jiawen Yu
Shaoqi Yan
Wenqiang Zhang
29
2
0
09 Mar 2024
FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement
  with Multi-Attention for Joint Video Super-Resolution and Deblurring
FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring
Geunhyuk Youk
Jihyong Oh
Munchurl Kim
30
9
0
08 Jan 2024
End-to-end Alternating Optimization for Real-World Blind Super
  Resolution
End-to-end Alternating Optimization for Real-World Blind Super Resolution
Zhengxiong Luo
Yan Huang
Shang Li
Liangsheng Wang
Tien-Ping Tan
SupR
27
14
0
17 Aug 2023
Joint Learning of Blind Super-Resolution and Crack Segmentation for
  Realistic Degraded Images
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images
Yuki Kondo
Norimichi Ukita
SupR
24
8
0
24 Feb 2023
Bridging Component Learning with Degradation Modelling for Blind Image
  Super-Resolution
Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution
Yixuan Wu
Feng Li
H. Bai
Weisi Lin
Runmin Cong
Yao-Min Zhao
SupR
24
17
0
03 Dec 2022
A heterogeneous group CNN for image super-resolution
A heterogeneous group CNN for image super-resolution
Chunwei Tian
Yanning Zhang
W. Zuo
Chia-Wen Lin
David C. Zhang
Yixuan Yuan
SupR
48
59
0
26 Sep 2022
Joint Learning Content and Degradation Aware Feature for Blind
  Super-Resolution
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution
Yifeng Zhou
Chuming Lin
Donghao Luo
Yong Liu
Ying Tai
Chengjie Wang
M. Chen
26
13
0
29 Aug 2022
Image Super-resolution with An Enhanced Group Convolutional Neural
  Network
Image Super-resolution with An Enhanced Group Convolutional Neural Network
Chunwei Tian
Yixuan Yuan
Shichao Zhang
Chia-Wen Lin
W. Zuo
David C. Zhang
SupR
20
97
0
29 May 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
Deep Constrained Least Squares for Blind Image Super-Resolution
Deep Constrained Least Squares for Blind Image Super-Resolution
Ziwei Luo
Haibin Huang
Lei Yu
Youwei Li
Haoqiang Fan
Shuaicheng Liu
SupR
35
87
0
15 Feb 2022
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
36
160
0
07 Jul 2021
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Neal Wadhwa
Rahul Garg
David E. Jacobs
Bryan E. Feldman
Nori Kanazawa
Robert E. Carroll
Yair Movshovitz-Attias
Jonathan T. Barron
Yael Pritch
M. Levoy
3DH
MDE
193
176
0
11 Jun 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
198
5,176
0
16 Sep 2016
1