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DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial
  Networks
v1v2v3v4 (latest)

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

19 November 2017
Orest Kupyn
Volodymyr Budzan
Mykola Mykhailych
Dmytro Mishkin
Jirí Matas
    3DV
ArXiv (abs)PDFHTMLGithub (2596★)

Papers citing "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

40 / 40 papers shown
Title
One-Step Diffusion Model for Image Motion-Deblurring
Xianglong Liu
Yuquan Wang
Zhaoyu Chen
Jingyun Liang
He Zhang
Yize Zhang
Xiaokang Yang
DiffM
129
0
0
09 Mar 2025
DarkDeblur: Learning single-shot image deblurring in low-light condition
S. Sharif
R. A. Naqvi
Farman Alic
Mithun Biswas
VLM
161
20
0
04 Mar 2025
Exploiting Deblurring Networks for Radiance Fields
Exploiting Deblurring Networks for Radiance Fields
Haeyun Choi
Heemin Yang
Janghyeok Han
Sunghyun Cho
103
0
0
20 Feb 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
169
4
0
20 Feb 2025
Deblur-Avatar: Animatable Avatars from Motion-Blurred Monocular Videos
Deblur-Avatar: Animatable Avatars from Motion-Blurred Monocular Videos
Xianrui Luo
Juewen Peng
Zhongang Cai
Lei Yang
Fan Yang
Zhiguo Cao
Guosheng Lin
VGen
435
0
0
23 Jan 2025
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Keda Tao
Jinjin Gu
Yulun Zhang
Xiucheng Wang
Nan Cheng
DiffM
102
4
0
05 Oct 2024
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
Fuchen Zheng
Xuhang Chen
Weihuang Liu
Haolun Li
Yingtie Lei
Jiahui He
Chi-Man Pun
Shounjun Zhou
MedIm
92
13
0
31 Aug 2024
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration
Xu Zhang
Jiaqi Ma
Guoli Wang
Qian Zhang
Huan Zhang
Lefei Zhang
VLM
133
8
0
28 Aug 2024
Gyro-based Neural Single Image Deblurring
Gyro-based Neural Single Image Deblurring
Heemin Yang
Jaesung Rim
Seungyong Lee
Seung-Hwan Baek
Sunghyun Cho
66
1
0
01 Apr 2024
Learning to Deblur Polarized Images
Learning to Deblur Polarized Images
Chu Zhou
Minggui Teng
Xinyu Zhou
Chao Xu
Boxin Shi
Boxin Shi
70
2
0
28 Feb 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Image Restoration for Under-Display Camera
Image Restoration for Under-Display Camera
Yuqian Zhou
D. Ren
N. Emerton
Sehoon Lim
T. Large
82
69
0
10 Mar 2020
Deep Generative Filter for Motion Deblurring
Deep Generative Filter for Motion Deblurring
S. Ramakrishnan
Shubham Pachori
Shanmuganathan Raman
3DVGAN
44
118
0
11 Sep 2017
An All-in-One Network for Dehazing and Beyond
An All-in-One Network for Dehazing and Beyond
Boyi Li
Xiulian Peng
Zhangyang Wang
Jizheng Xu
Dan Feng
62
164
0
20 Jul 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
207
9,548
0
31 Mar 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
125
5,553
0
30 Mar 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
Motion Deblurring in the Wild
Motion Deblurring in the Wild
M. Noroozi
Paramanand Chandramouli
Paolo Favaro
64
127
0
05 Jan 2017
EnhanceNet: Single Image Super-Resolution Through Automated Texture
  Synthesis
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Mehdi S. M. Sajjadi
Bernhard Schölkopf
M. Hirsch
SupR
70
971
0
23 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OODGAN
149
1,536
0
16 Dec 2016
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing
  Heterogeneous Motion Blur
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur
Dong Gong
Jie Yang
Lingqiao Liu
Yanning Zhang
Ian Reid
Chunhua Shen
Anton Van Den Hengel
Javen Qinfeng Shi
77
392
0
08 Dec 2016
Deep Multi-scale Convolutional Neural Network for Dynamic Scene
  Deblurring
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah
Tae Hyun Kim
Kyoung Mu Lee
141
1,974
0
07 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
326
19,651
0
21 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
329
4,574
0
13 Nov 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,693
0
15 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
772
36,813
0
25 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
177
3,708
0
27 Jul 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
483
9,052
0
10 Jun 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
82
1,433
0
15 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
237
10,249
0
27 Mar 2016
A Neural Approach to Blind Motion Deblurring
A Neural Approach to Blind Motion Deblurring
Ayan Chakrabarti
44
432
0
15 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
705
36,958
0
08 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
135
2,912
0
05 May 2015
Learning a Convolutional Neural Network for Non-uniform Motion Blur
  Removal
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
Jian Sun
Wenfei Cao
Zongben Xu
Jean Ponce
72
841
0
02 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
258
10,409
0
06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,882
0
12 Nov 2013
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