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ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image
  Compression
v1v2 (latest)

ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression

19 October 2019
Li-Heng Chen
C. Bampis
Zhi Li
A. Norkin
A. Bovik
ArXiv (abs)PDFHTML

Papers citing "ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression"

32 / 32 papers shown
Title
Adaptive Debanding Filter
Adaptive Debanding Filter
Zhengzhong Tu
Jessie Lin
Yilin Wang
Balu Adsumilli
A. Bovik
35
22
0
22 Sep 2020
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated
  Content
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Zhengzhong Tu
Yilin Wang
Neil Birkbeck
Balu Adsumilli
A. Bovik
64
261
0
29 May 2020
Comparison of Image Quality Models for Optimization of Image Processing
  Systems
Comparison of Image Quality Models for Optimization of Image Processing Systems
Keyan Ding
Kede Ma
Shiqi Wang
Eero P. Simoncelli
VLM
44
17
0
04 May 2020
BBAND Index: A No-Reference Banding Artifact Predictor
BBAND Index: A No-Reference Banding Artifact Predictor
Zhengzhong Tu
Jessie Lin
Yilin Wang
Balu Adsumilli
A. Bovik
36
40
0
27 Feb 2020
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based
  Partition Prediction
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction
Somdyuti Paul
A. Norkin
A. Bovik
39
14
0
15 Jun 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive
  Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
Jonas Löhdefink
Andreas Bär
Nico M. Schmidt
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
51
15
0
12 Feb 2019
Adversarial Video Compression Guided by Soft Edge Detection
Adversarial Video Compression Guided by Soft Edge Detection
Sungsoo Kim
Jin Soo Park
C. Bampis
Jaeseong Lee
M. Markey
A. Dimakis
A. Bovik
GAN
46
17
0
26 Nov 2018
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
79
1,278
0
08 Sep 2018
Video Compression through Image Interpolation
Video Compression through Image Interpolation
Chao-Yuan Wu
Nayan Singhal
Philipp Krahenbuhl
VGen
86
322
0
18 Apr 2018
Generative Adversarial Networks for Extreme Learned Image Compression
Generative Adversarial Networks for Extreme Learned Image Compression
E. Agustsson
Michael Tschannen
Fabian Mentzer
Radu Timofte
Luc Van Gool
GAN
67
560
0
09 Apr 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
384
11,905
0
11 Jan 2018
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
131
816
0
16 Nov 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
127
2,445
0
12 Apr 2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit
  Rates for Recurrent Networks
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
Nick Johnston
Damien Vincent
David C. Minnen
Michele Covell
Saurabh Singh
Troy T. Chinen
S. Hwang
Joel Shor
G. Toderici
54
373
0
29 Mar 2017
A General and Adaptive Robust Loss Function
A General and Adaptive Robust Loss Function
Jonathan T. Barron
OODDRL
193
540
0
11 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
73
972
0
23 Dec 2016
Deep Neural Networks for No-Reference and Full-Reference Image Quality
  Assessment
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
S. Bosse
Dominique Maniry
K. Müller
Thomas Wiegand
Wojciech Samek
80
1,000
0
06 Dec 2016
High-Resolution Image Inpainting using Multi-Scale Neural Patch
  Synthesis
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
Chao Yang
Xin Lu
Zhe Lin
Eli Shechtman
Oliver Wang
Hao Li
74
780
0
30 Nov 2016
Controlling Perceptual Factors in Neural Style Transfer
Controlling Perceptual Factors in Neural Style Transfer
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
Aaron Hertzmann
Eli Shechtman
43
466
0
23 Nov 2016
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
100
1,713
0
05 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
10,712
0
15 Sep 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
60
828
0
18 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 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
251
10,264
0
27 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
194,426
0
10 Dec 2015
Learning to Generate Images with Perceptual Similarity Metrics
Learning to Generate Images with Perceptual Similarity Metrics
Jake C. Snell
Karl Ridgeway
Renjie Liao
Brett D. Roads
Michael C. Mozer
R. Zemel
EGVM
73
178
0
19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
75
671
0
19 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
65
326
0
18 Nov 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
316
4,180
0
26 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
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
FAttMDE
1.7K
100,508
0
04 Sep 2014
Generative Adversarial Networks
Generative Adversarial Networks
Ian Goodfellow
Jean Pouget-Abadie
M. Berk Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
GAN
145
2,196
0
10 Jun 2014
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