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An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time
  Video Enhancement

An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

24 December 2020
Dario Fuoli
Zhiwu Huang
D. Paudel
Luc Van Gool
Radu Timofte
ArXivPDFHTML

Papers citing "An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement"

37 / 37 papers shown
Title
RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches
RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches
Shawn Mathew
Saad Nadeem
Alvin C. Goh
Arie Kaufman
MedIm
65
0
0
02 Oct 2023
Unpaired Image Enhancement with Quality-Attention Generative Adversarial
  Network
Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
Zhangkai Ni
Wenhan Yang
Shiqi Wang
Lin Ma
Sam Kwong
GAN
53
18
0
30 Dec 2020
Towards Unsupervised Deep Image Enhancement with Generative Adversarial
  Network
Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
Zhangkai Ni
Wenhan Yang
Shiqi Wang
Lin Ma
Sam Kwong
GAN
61
105
0
30 Dec 2020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and
  Results
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
Dario Fuoli
Zhiwu Huang
Shuhang Gu
Radu Timofte
Arnau Raventos
...
Kazutoshi Akita
Norimichi Ukita
S. HrishikeshP.
Densen Puthussery
V. JijiC.
SupR
45
17
0
14 Sep 2020
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
Dario Fuoli
Zhiwu Huang
Martin Danelljan
Radu Timofte
Hua Wang
...
Cewu Lu
Chao Li
Dongliang He
Fu Li
Shilei Wen
45
11
0
05 May 2020
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for
  Implicit Motion Estimation and Compensation
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation
Xiaohong Liu
Lingshi Kong
Yang Zhou
Jiying Zhao
Jun Chen
SupR
41
20
0
05 Jan 2020
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled
  Image Editing Software
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
Satoshi Kosugi
T. Yamasaki
GAN
42
77
0
17 Dec 2019
Deep Video Deblurring: The Devil is in the Details
Deep Video Deblurring: The Devil is in the Details
Jochen Gast
Stefan Roth
47
24
0
26 Sep 2019
Mocycle-GAN: Unpaired Video-to-Video Translation
Mocycle-GAN: Unpaired Video-to-Video Translation
Yang Chen
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
GAN
57
89
0
26 Aug 2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video
  Translation
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
Kwanyong Park
Sanghyun Woo
Dahun Kim
Donghyeon Cho
In So Kweon
VGen
53
39
0
21 Aug 2019
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Xintao Wang
Kelvin C. K. Chan
K. Yu
Chao Dong
Chen Change Loy
SupR
51
1,008
0
07 May 2019
Towards Accurate Generative Models of Video: A New Metric & Challenges
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner
Sjoerd van Steenkiste
Karol Kurach
Raphaël Marinier
Marcin Michalski
Sylvain Gelly
EGVM
VGen
57
711
0
03 Dec 2018
Learning Temporal Coherence via Self-Supervision for GAN-based Video
  Generation
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
Mengyu Chu
You Xie
Jonas Mayer
Laura Leal-Taixé
N. Thürey
40
61
0
23 Nov 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Chen Change Loy
Yu Qiao
Xiaoou Tang
95
3,706
0
01 Sep 2018
Recycle-GAN: Unsupervised Video Retargeting
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal
Shugao Ma
Deva Ramanan
Yaser Sheikh
VGen
DiffM
50
297
0
15 Aug 2018
The relativistic discriminator: a key element missing from standard GAN
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
GAN
37
971
0
02 Jul 2018
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning
Jongchan Park
Joon-Young Lee
Donggeun Yoo
In So Kweon
OffRL
31
196
0
12 Apr 2018
Context-aware Synthesis for Video Frame Interpolation
Context-aware Synthesis for Video Frame Interpolation
Simon Niklaus
Feng Liu
66
408
0
29 Mar 2018
Multi-Frame Quality Enhancement for Compressed Video
Multi-Frame Quality Enhancement for Compressed Video
Ren Yang
Mai Xu
Zulin Wang
Tianyi Li
55
204
0
13 Mar 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
135
4,421
0
16 Feb 2018
Frame-Recurrent Video Super-Resolution
Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi
Raviteja Vemulapalli
Matthew A. Brown
SupR
39
503
0
14 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
143
19,124
0
13 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
297
11,610
0
11 Jan 2018
Deep Burst Denoising
Deep Burst Denoising
Clément Godard
Kevin Blackburn-Matzen
M. Uyttendaele
43
125
0
15 Dec 2017
Burst Denoising with Kernel Prediction Networks
Burst Denoising with Kernel Prediction Networks
B. Mildenhall
Jonathan T. Barron
Jiawen Chen
Dillon Sharlet
Ren Ng
Robert E. Carroll
84
393
0
06 Dec 2017
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for
  Video Interpolation
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang
Deqing Sun
Varun Jampani
Ming-Hsuan Yang
Erik Learned-Miller
Jan Kautz
95
785
0
30 Nov 2017
Exposure: A White-Box Photo Post-Processing Framework
Exposure: A White-Box Photo Post-Processing Framework
Yuanming Hu
Hao He
Chenxi Xu
Baoyuan Wang
Stephen Lin
40
304
0
27 Sep 2017
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
Andrey D. Ignatov
Nikolay Kobyshev
Radu Timofte
K. Vanhoey
Luc Van Gool
DiffM
48
172
0
04 Sep 2017
Detail-revealing Deep Video Super-resolution
Detail-revealing Deep Video Super-resolution
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
SupR
60
497
0
10 Apr 2017
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
Andrey D. Ignatov
Nikolay Kobyshev
Radu Timofte
K. Vanhoey
Luc Van Gool
44
520
0
08 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
130
9,509
0
31 Mar 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
60
503
0
22 Mar 2017
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
229
10,646
0
15 Sep 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
478
27,231
0
02 Dec 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
102
1,880
0
17 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
808
149,474
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
928
99,991
0
04 Sep 2014
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