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Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
v1v2v3v4v5 (latest)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

15 September 2016
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
    GAN
ArXiv (abs)PDFHTML

Papers citing "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

50 / 3,238 papers shown
Title
A New Super-Resolution Measurement of Perceptual Quality and Fidelity
A New Super-Resolution Measurement of Perceptual Quality and Fidelity
Shengfu Cheng
SupR
41
0
0
10 Mar 2023
Scaling up GANs for Text-to-Image Synthesis
Scaling up GANs for Text-to-Image Synthesis
Minguk Kang
Jun-Yan Zhu
Richard Y. Zhang
Jaesik Park
Eli Shechtman
Sylvain Paris
Taesung Park
96
478
0
09 Mar 2023
Detecting Images Generated by Diffusers
Detecting Images Generated by Diffusers
D. Coccomini
Andrea Esuli
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
DiffM
88
15
0
09 Mar 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image
  Super-Resolution
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
Jiemei Yao
Li-Yuan Tsao
Yi-Chen Lo
Roy Tseng
Chia-Che Chang
Chun-Yi Lee
SupR
51
35
0
09 Mar 2023
LMR: A Large-Scale Multi-Reference Dataset for Reference-based
  Super-Resolution
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
Lin Zhang
Xin Li
Dongliang He
Errui Ding
Zhao Zhang
95
14
0
09 Mar 2023
Learning Enhancement From Degradation: A Diffusion Model For Fundus
  Image Enhancement
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement
Puijin Cheng
Li Lin
Yijin Huang
Huaqing He
Wenhan Luo
Xiaoying Tang
MedImDiffM
50
6
0
08 Mar 2023
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition
Cindy M. Nguyen
E. R. Chan
Alexander W. Bergman
Gordon Wetzstein
DiffM
160
23
0
07 Mar 2023
Combination of Single and Multi-frame Image Super-resolution: An
  Analytical Perspective
Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective
M. Afrasiabi
Reshad Hosseini
A. Abbasfar
52
1
0
06 Mar 2023
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free
  Upsampling Module in Arbitrary-scale Image Super-Resolution
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution
Gaochao Song
Luo Zhang
Ran Su
Jianfeng Shi
Yingchuan He
Qian Sun
SupR
96
13
0
02 Mar 2023
Ensemble flow reconstruction in the atmospheric boundary layer from
  spatially limited measurements through latent diffusion models
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
AI4CEDiffM
61
18
0
01 Mar 2023
Online Streaming Video Super-Resolution with Convolutional Look-Up Table
Online Streaming Video Super-Resolution with Convolutional Look-Up Table
Guanghao Yin
Zefan Qu
Xinyang Jiang
Shan Jiang
Zhen-Hai Han
...
Xiaohong Liu
Hua Yang
Yuqing Yang
Dongsheng Li
Lili Qiu
SupR
66
6
0
01 Mar 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
96
9
0
28 Feb 2023
On Deep Generative Models for Approximation and Estimation of
  Distributions on Manifolds
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal
Alex Havrilla
Minshuo Chen
Tuo Zhao
Wenjing Liao
GAN
59
10
0
25 Feb 2023
Gradient Adjusting Networks for Domain Inversion
Gradient Adjusting Networks for Domain Inversion
Erez Sheffi
Michael Rotman
Lior Wolf
75
0
0
22 Feb 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
ViTMedIm
87
6
0
22 Feb 2023
Improving Scene Text Image Super-resolution via Dual Prior Modulation
  Network
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network
Shipeng Zhu
Zuoyan Zhao
Pengfei Fang
H. Xue
SupRDiffM
93
25
0
21 Feb 2023
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep
  Learning Models
DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
Vivian Lin
Kuk Jin Jang
Souradeep Dutta
Michele Caprio
O. Sokolsky
Insup Lee
OOD
80
6
0
20 Feb 2023
Image Reconstruction via Deep Image Prior Subspaces
Image Reconstruction via Deep Image Prior Subspaces
Riccardo Barbano
Javier Antorán
Johannes Leuschner
José Miguel Hernández-Lobato
Bangti Jin
vZeljko Kereta
106
1
0
20 Feb 2023
Guided Depth Map Super-resolution: A Survey
Guided Depth Map Super-resolution: A Survey
Zhiwei Zhong
Xianming Liu
Junjun Jiang
Debin Zhao
Xiangyang Ji
116
36
0
19 Feb 2023
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y
  Aplicaciones
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones
J. D. L. Torre
GAN
49
1
0
18 Feb 2023
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing
  Unannotated T1-weighted Brain MR Images
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
M. R. Siddiquee
Jay Shah
Teresa Wu
C. Chong
T. Schwedt
Gina M. Dumkrieger
S. Nikolova
Baoxin Li
MedIm
106
11
0
18 Feb 2023
Algorithmic Hallucinations of Near-Surface Winds: Statistical
  Downscaling with Generative Adversarial Networks to Convection-Permitting
  Scales
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales
Nicolaas J. Annau
Alex J. Cannon
A. Monahan
78
16
0
17 Feb 2023
Kernelized Back-Projection Networks for Blind Super Resolution
Kernelized Back-Projection Networks for Blind Super Resolution
Tomoki Yoshida
Yuki Kondo
Takahiro Maeda
Kazutoshi Akita
Norimichi Ukita
SupR
65
1
0
16 Feb 2023
TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual
  Vision Transformer for Fast Arbitrary One-Shot Image Generation
TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual Vision Transformer for Fast Arbitrary One-Shot Image Generation
Yunliang Jiang
Li Yan
Xiongtao Zhang
Yong-Jin Liu
Da-Song Sun
ViT
102
5
0
16 Feb 2023
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
A. Giganti
S. Mandelli
Paolo Bestagini
Marco Marcon
Stefano Tubaro
87
4
0
15 Feb 2023
SpeckleNN: A unified embedding for real-time speckle pattern
  classification in X-ray single-particle imaging with limited labeled examples
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples
Cong Wang
Eric Florin
Hsing-Yin Chang
Jana Thayer
Chun Hong Yoon
39
7
0
14 Feb 2023
Dual-layer Image Compression via Adaptive Downsampling and Spatially
  Varying Upconversion
Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion
Xi Zhang
Xiaolin Wu
60
4
0
13 Feb 2023
I$^2$SB: Image-to-Image Schrödinger Bridge
I2^22SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu
Arash Vahdat
De-An Huang
Evangelos A. Theodorou
Weili Nie
Anima Anandkumar
DiffM
116
154
0
12 Feb 2023
Industrial and Medical Anomaly Detection Through Cycle-Consistent
  Adversarial Networks
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
Arnaud Bougaham
Valentin Delchevalerie
M. Adoui
Benoit Frénay
MedImGAN
133
2
0
10 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks:
  Breaking Transfer Learning Conventions
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
G. Pihlgren
Konstantina Nikolaidou
Prakash Chandra Chhipa
Nosheen Abid
Rajkumar Saini
Fredrik Sandin
Marcus Liwicki
95
10
0
08 Feb 2023
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware
  Transformer
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer
Fang Yu
Xintao Wang
Ming Cao
Gengyan Li
Y. Shan
Chao Dong
ViT
118
34
0
07 Feb 2023
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation
  Meets Regularization by Enhancing
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
Wenjie Zhu
Peijie Qiu
Oana Dumitrascu
Jacob Jacob
Mohammad Farazi
Zhangsihao Yang
Keshav Nandakumar
Yalin Wang
MedIm
84
13
0
06 Feb 2023
Optimal Transport Guided Unsupervised Learning for Enhancing low-quality
  Retinal Images
Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images
Wenjie Zhu
Peijie Qiu
Mohammad Farazi
Keshav Nandakumar
Oana Dumitrascu
Yalin Wang
MedIm
40
12
0
06 Feb 2023
A statistically constrained internal method for single image
  super-resolution
A statistically constrained internal method for single image super-resolution
Pierrick Chatillon
Y. Gousseau
S. Lefebvre
23
2
0
03 Feb 2023
Curriculum Learning for ab initio Deep Learned Refractive Optics
Curriculum Learning for ab initio Deep Learned Refractive Optics
Xinge Yang
Q. Fu
Wolfgang Heidrich
52
24
0
02 Feb 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein
  Gradient Flows
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
Mingxuan Yi
Zhanxing Zhu
Song Liu
GAN
97
14
0
02 Feb 2023
GANalyzer: Analysis and Manipulation of GANs Latent Space for
  Controllable Face Synthesis
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis
A. P. Fard
Mohammad H. Mahoor
S. Lamer
Timothy D. Sweeny
GANCVBM
63
3
0
02 Feb 2023
Adversarial Style Augmentation for Domain Generalization
Adversarial Style Augmentation for Domain Generalization
Yabin Zhang
Bin Deng
Ruihuang Li
Kui Jia
Lei Zhang
AAMLOOD
76
14
0
30 Jan 2023
Improving Statistical Fidelity for Neural Image Compression with
  Implicit Local Likelihood Models
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Matthew Muckley
Alaaeldin El-Nouby
Karen Ullrich
Hervé Jégou
Jakob Verbeek
121
55
0
26 Jan 2023
Multitemporal and multispectral data fusion for super-resolution of
  Sentinel-2 images
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images
Tomasz Tarasiewicz
J. Nalepa
R. Farrugia
G. Valentino
Mang Chen
J. A. Briffa
M. Kawulok
60
17
0
26 Jan 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Kai Fukami
K. Fukagata
Kunihiko Taira
AI4CE
81
109
0
26 Jan 2023
Trainable Loss Weights in Super-Resolution
Trainable Loss Weights in Super-Resolution
Arash Chaichi Mellatshahi
S. Kasaei
SupR
90
0
0
25 Jan 2023
Interpreting CNN Predictions using Conditional Generative Adversarial
  Networks
Interpreting CNN Predictions using Conditional Generative Adversarial Networks
Akash Guna
Raul Benitez
Sikha
GAN
43
5
0
19 Jan 2023
A Specific Task-oriented Semantic Image Communication System for
  substation patrol inspection
A Specific Task-oriented Semantic Image Communication System for substation patrol inspection
Senran Fan
Haotai Liang
Chen Dong
Xiaodong Xu
Geng Liu
31
6
0
09 Jan 2023
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks
  for Image Super-Resolution
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution
Xiang Li
Jin-shan Pan
Jinhui Tang
Jiangxin Dong
96
34
0
05 Jan 2023
On the causality-preservation capabilities of generative modelling
On the causality-preservation capabilities of generative modelling
Yves-Cédric Bauwelinckx
Jan Dhaene
Tim Verdonck
Milan van den Heuvel
CMLAI4CE
96
1
0
03 Jan 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
103
238
0
02 Jan 2023
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using
  Deep Learning
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning
T. Yu
Da Ma
Jayden Cole
M. Ju
M. Beg
M. Sarunic
51
3
0
02 Jan 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial
  Representation Learning
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
167
192
0
30 Dec 2022
Efficient Image Super-Resolution with Feature Interaction Weighted
  Hybrid Network
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
Wenjie Li
Juncheng Li
Guangwei Gao
Weihong Deng
Jian Yang
Guo-Jun Qi
Chia-Wen Lin
SupR
80
12
0
29 Dec 2022
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