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. 1712.06087
  4. Cited By
"Zero-Shot" Super-Resolution using Deep Internal Learning

"Zero-Shot" Super-Resolution using Deep Internal Learning

17 December 2017
Assaf Shocher
Nadav Cohen
Michal Irani
    SupR
ArXivPDFHTML

Papers citing ""Zero-Shot" Super-Resolution using Deep Internal Learning"

50 / 100 papers shown
Title
Two-Stage Random Alternation Framework for Zero-Shot Pansharpening
Two-Stage Random Alternation Framework for Zero-Shot Pansharpening
Haorui Chen
Zeyu Ren
Jiaxuan Ren
Ran Ran
Jinliang Shao
Jie Huang
Liangjian Deng
24
0
0
10 May 2025
NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
Zheng Chen
J. Wang
Kai Liu
Jue Gong
Lei Sun
...
J. Lee
C. Lee
Chih-Chung Hsu
Hu Peng
Chunming He
56
2
0
20 Apr 2025
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Kang Liao
Zongsheng Yue
Zhouxia Wang
Chen Change Loy
81
3
0
20 Feb 2025
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark
Shiao Wang
X. Wang
Chao wang
Liye Jin
Lin Zhu
Bo Jiang
Yonghong Tian
Jin Tang
53
0
0
08 Feb 2025
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement
Shengyu Chen
P. Givi
Can Zheng
X. Jia
AI4CE
32
0
0
31 Dec 2024
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning
Alex Finkelstein
Nikita Vladimirov
Moritz Zaiss
O. Perlman
31
1
0
10 Nov 2024
Image Super-Resolution with Taylor Expansion Approximation and Large
  Field Reception
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception
Jia Feng
Yuan Wang
Dianbo Sui
Fengchuang Xing
SupR
36
0
0
01 Aug 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
56
92
0
05 Jul 2024
One-Shot Image Restoration
One-Shot Image Restoration
Deborah Pereg
SupR
29
1
0
26 Apr 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
20
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
33
1
0
12 Mar 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre
Elliot Creager
David Madras
Antonio Torralba
Katherine Heller
OOD
OODD
30
1
0
29 Dec 2023
Learning from small data sets: Patch-based regularizers in inverse
  problems for image reconstruction
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction
Moritz Piening
Fabian Altekrüger
J. Hertrich
Paul Hagemann
Andrea Walther
Gabriele Steidl
24
6
0
27 Dec 2023
Deep Internal Learning: Deep Learning from a Single Input
Deep Internal Learning: Deep Learning from a Single Input
Tom Tirer
Raja Giryes
Se Young Chun
Yonina C. Eldar
26
3
0
12 Dec 2023
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
25
14
0
17 Aug 2023
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and
  Blind Super-Resolution
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution
Minghao She
Wendong Mao
Huihong Shi
Zhongfeng Wang
ViT
9
0
0
16 Aug 2023
Simultaneous temperature estimation and nonuniformity correction from
  multiple frames
Simultaneous temperature estimation and nonuniformity correction from multiple frames
N. Oz
O. Berman
N. Sochen
David Mendelovich
I. Klapp
22
1
0
23 Jul 2023
Test-Time Training on Video Streams
Test-Time Training on Video Streams
Renhao Wang
Yu Sun
Yossi Gandelsman
Xinlei Chen
Alexei A. Efros
Alexei A. Efros
Xiaolong Wang
TTA
ViT
3DGS
24
16
0
11 Jul 2023
Deep learning techniques for blind image super-resolution: A high-scale
  multi-domain perspective evaluation
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluation
Valdivino Alexandre de Santiago Júnior
29
0
0
15 Jun 2023
Single-Image-Based Deep Learning for Segmentation of Early Esophageal
  Cancer Lesions
Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions
Haipeng Li
Di Liu
Yunzhi Zeng
Shuaicheng Liu
Tao Gan
N. Rao
Jin-lin Yang
Bing Zeng
19
6
0
09 Jun 2023
Low-field magnetic resonance image enhancement via stochastic image
  quality transfer
Low-field magnetic resonance image enhancement via stochastic image quality transfer
Hongxiang Lin
Matteo Figini
F. D’Arco
G. Ogbole
Ryutaro Tanno
...
D. Carmichael
I. Lagunju
J. Cross
D. Fernández-Reyes
Daniel C. Alexander
23
20
0
26 Apr 2023
Learning to Recover Spectral Reflectance from RGB Images
Learning to Recover Spectral Reflectance from RGB Images
Dong Huo
Jian Wang
Yiming Qian
Yee-Hong Yang
16
0
0
04 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Ben Fei
Zhaoyang Lyu
Liang Pan
Junzhe Zhang
Weidong Yang
Tian-jian Luo
Bo-Wen Zhang
Bo Dai
DiffM
27
176
0
03 Apr 2023
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image
  Arbitrary-Scale Super Resolution
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
Zixuan Chen
Jianhuang Lai
Lingxiao Yang
Xiaohua Xie
MedIm
19
28
0
28 Mar 2023
A residual dense vision transformer for medical image super-resolution
  with segmentation-based perceptual loss fine-tuning
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning
Jin Zhu
Guang Yang
Pietro Lio'
ViT
MedIm
24
5
0
22 Feb 2023
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image
  Super-Resolution
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution
Junbo Qiao
Shaohui Lin
Yunlu Zhang
Wei Li
Hu Jie
Gaoqi He
Changbo Wang
Zhuang Ma
19
2
0
15 Dec 2022
Adaptive adversarial training method for improving multi-scale GAN based
  on generalization bound theory
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
Jin-Lin Tang
B. Tao
Zeyu Gong
Zhoupin Yin
AI4CE
26
1
0
30 Nov 2022
HashEncoding: Autoencoding with Multiscale Coordinate Hashing
HashEncoding: Autoencoding with Multiscale Coordinate Hashing
Lukas Zhornyak
Zhen-hui Xu
Haoran Tang
Jianbo Shi
14
0
0
29 Nov 2022
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle
  Domain Transfer Learning based Generative Adversarial Network
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network
Xiang Wang
Yimin Yang
Zhichang Guo
Zhili Zhou
Yu Liu
Qixiang Pang
Shan Du
SupR
8
1
0
19 Nov 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
27
4
0
27 Oct 2022
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
13
0
0
22 Oct 2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using
  Image-to-Image Diffusion Models
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models
Yueqin Yin
Lianghua Huang
Yu Liu
Kaiqiang Huang
DiffM
33
12
0
16 Oct 2022
Blind Super-Resolution for Remote Sensing Images via Conditional
  Stochastic Normalizing Flows
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows
Hanlin Wu
Ning Ni
Shan Wang
Li-bao Zhang
30
8
0
14 Oct 2022
Test-Time Training with Masked Autoencoders
Test-Time Training with Masked Autoencoders
Yossi Gandelsman
Yu Sun
Xinlei Chen
Alexei A. Efros
OOD
17
163
0
15 Sep 2022
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual
  Meta-Learning
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning
Shixing Yu
Y. Ma
Wenhan Yang
Wei Xiang
Jiaying Liu
3DH
25
0
0
27 Jul 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
11
14
0
26 Jul 2022
InfiniteNature-Zero: Learning Perpetual View Generation of Natural
  Scenes from Single Images
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
Zhengqi Li
Qianqian Wang
Noah Snavely
Angjoo Kanazawa
VGen
26
59
0
22 Jul 2022
Deep Semantic Statistics Matching (D2SM) Denoising Network
Deep Semantic Statistics Matching (D2SM) Denoising Network
Kangfu Mei
Vishal M. Patel
Rui Huang
DiffM
13
8
0
19 Jul 2022
Variational Deep Image Restoration
Variational Deep Image Restoration
Jae Woong Soh
N. Cho
SupR
40
39
0
03 Jul 2022
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution
Fuzhi Yang
Huan Yang
Yanhong Zeng
Jianlong Fu
Hongtao Lu
27
9
0
03 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
28
19
0
06 Jun 2022
ASSET: Autoregressive Semantic Scene Editing with Transformers at High
  Resolutions
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions
Difan Liu
Sandesh Shetty
Tobias Hinz
Matthew Fisher
Richard Y. Zhang
Taesung Park
E. Kalogerakis
ViT
27
29
0
24 May 2022
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines,
  and Performance Upper Bounds
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds
Wenlong Zhang
Guangyuan Shi
Yihao Liu
Chao Dong
Xiao-Ming Wu
25
22
0
10 May 2022
Fully Convolutional Fractional Scaling
Fully Convolutional Fractional Scaling
Michael Soloveitchik
M. Werman
16
0
0
20 Mar 2022
One-shot Ultra-high-Resolution Generative Adversarial Network That
  Synthesizes 16K Images On A Single GPU
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU
Junseok Oh
Donghwee Yoon
Injung Kim
21
1
0
28 Feb 2022
Real-World Blind Super-Resolution via Feature Matching with Implicit
  High-Resolution Priors
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors
Chaofeng Chen
Xinyu Shi
Yipeng Qin
Xiaoming Li
Xiaoguang Han
Taojiannan Yang
Shihui Guo
22
113
0
26 Feb 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
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
25
27
0
28 Jan 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
65
5
0
26 Jan 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for
  Superresolution
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution
Fabian Altekrüger
J. Hertrich
25
15
0
20 Jan 2022
12
Next