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The 2018 PIRM Challenge on Perceptual Image Super-resolution

The 2018 PIRM Challenge on Perceptual Image Super-resolution

20 September 2018
Yochai Blau
Roey Mechrez
Radu Timofte
T. Michaeli
Lihi Zelnik-Manor
    SupR
ArXivPDFHTML

Papers citing "The 2018 PIRM Challenge on Perceptual Image Super-resolution"

23 / 73 papers shown
Title
Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image
  Dehazing
Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing
Sourya Dipta Das
S. Dutta
16
60
0
12 May 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
32
11
0
05 May 2020
Super Resolution for Root Imaging
Super Resolution for Root Imaging
J. Ruiz-Muñoz
J. Nimmagadda
A. Zare
S. Cui
J. Baciak
SupR
13
7
0
30 Mar 2020
Structure-Preserving Super Resolution with Gradient Guidance
Structure-Preserving Super Resolution with Gradient Guidance
Cheng Ma
Yongming Rao
Yean Cheng
Ce Chen
Jiwen Lu
Jie Zhou
SupR
18
298
0
29 Mar 2020
Learning Multi-Scale Photo Exposure Correction
Learning Multi-Scale Photo Exposure Correction
Mahmoud Afifi
Konstantinos G. Derpanis
Bjorn Ommer
M. S. Brown
13
9
0
25 Mar 2020
ML-SIM: A deep neural network for reconstruction of structured
  illumination microscopy images
ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images
Charles N Christensen
Edward N. Ward
Pietro Lió
C. Kaminski
24
15
0
24 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
540
0
08 Mar 2020
Saliency Driven Perceptual Image Compression
Saliency Driven Perceptual Image Compression
Yash J. Patel
Srikar Appalaraju
R. Manmatha
31
6
0
12 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
Learning to Zoom-in via Learning to Zoom-out: Real-world
  Super-resolution by Generating and Adapting Degradation
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation
Dong Gong
Wei Sun
Javen Qinfeng Shi
Anton van den Hengel
Yanning Zhang
SupR
18
27
0
08 Jan 2020
Frequency Separation for Real-World Super-Resolution
Frequency Separation for Real-World Super-Resolution
Manuel Fritsche
Shuhang Gu
Radu Timofte
22
221
0
18 Nov 2019
RankSRGAN: Generative Adversarial Networks with Ranker for Image
  Super-Resolution
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution
Wenlong Zhang
Yihao Liu
Chao Dong
Yu Qiao
GAN
9
349
0
18 Aug 2019
Progressive Perception-Oriented Network for Single Image
  Super-Resolution
Progressive Perception-Oriented Network for Single Image Super-Resolution
Zheng Hui
Jie Li
Xinbo Gao
Xiumei Wang
SupR
GAN
27
52
0
24 Jul 2019
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Exemplar Guided Face Image Super-Resolution without Facial Landmarks
Berk Dogan
Shuhang Gu
Radu Timofte
GAN
CVBM
6
86
0
17 Jun 2019
Zoom To Learn, Learn To Zoom
Zoom To Learn, Learn To Zoom
X. Zhang
Qifeng Chen
Ren Ng
V. Koltun
SupR
18
247
0
13 May 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GAN
VLM
29
832
0
02 May 2019
Residual Non-local Attention Networks for Image Restoration
Residual Non-local Attention Networks for Image Restoration
Yulun Zhang
Kunpeng Li
Kai Li
Bineng Zhong
Y. Fu
SupR
30
670
0
24 Mar 2019
Efficient Deep Neural Network for Photo-realistic Image Super-Resolution
Efficient Deep Neural Network for Photo-realistic Image Super-Resolution
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
SupR
19
27
0
06 Mar 2019
SMIT: Stochastic Multi-Label Image-to-Image Translation
SMIT: Stochastic Multi-Label Image-to-Image Translation
Andrés Romero
Pablo Arbelaez
Luc Van Gool
Radu Timofte
25
66
0
10 Dec 2018
Why Are Deep Representations Good Perceptual Quality Features?
Why Are Deep Representations Good Perceptual Quality Features?
Taimoor Tariq
Okan Tarhan Tursun
Munchurl Kim
Piotr Didyk
SSL
16
1
0
02 Dec 2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey D. Ignatov
Radu Timofte
Thang Vu
T. Luu
T. Pham
...
T. Nimisha
Praveen Kandula
A. N. Rajagopalan
Jie Liu
Cheolkon Jung
SupR
19
134
0
03 Oct 2018
Deep Learning-based Image Super-Resolution Considering Quantitative and
  Perceptual Quality
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality
Jun-Ho Choi
Jun-Hyuk Kim
Manri Cheon
Jong-Seok Lee
SupR
11
40
0
13 Sep 2018
The Unreasonable Effectiveness of Texture Transfer for Single Image
  Super-resolution
The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution
Muhammad Waleed Gondal
Bernhard Schölkopf
M. Hirsch
SupR
18
48
0
31 Jul 2018
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