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Deep Adaptive Inference Networks for Single Image Super-Resolution

Deep Adaptive Inference Networks for Single Image Super-Resolution

8 April 2020
Ming-Yu Liu
Zhilu Zhang
Liya Hou
W. Zuo
Lei Zhang
    SupR
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Papers citing "Deep Adaptive Inference Networks for Single Image Super-Resolution"

31 / 31 papers shown
Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
256
42,038
0
03 Dec 2019
Improved Techniques for Training Adaptive Deep Networks
Improved Techniques for Training Adaptive Deep Networks
Hao Li
Hong Zhang
Xiaojuan Qi
Ruigang Yang
Gao Huang
48
132
0
17 Aug 2019
Path-Restore: Learning Network Path Selection for Image Restoration
Path-Restore: Learning Network Path Selection for Image Restoration
K. Yu
Xintao Wang
Chao Dong
Xiaoou Tang
Chen Change Loy
39
83
0
23 Apr 2019
CFSNet: Toward a Controllable Feature Space for Image Restoration
CFSNet: Toward a Controllable Feature Space for Image Restoration
Wei Wang
Ruiming Guo
Yapeng Tian
Wenming Yang
DiffM
22
65
0
01 Apr 2019
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
Kai Zhang
W. Zuo
Lei Zhang
SupR
38
361
0
29 Mar 2019
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis
  Tasks
Dynamic-Net: Tuning the Objective Without Re-training for Synthesis Tasks
Alon Shoshan
Roey Mechrez
Lihi Zelnik-Manor
OOD
22
33
0
21 Nov 2018
Wide Activation for Efficient and Accurate Image Super-Resolution
Wide Activation for Efficient and Accurate Image Super-Resolution
Jiahui Yu
Yuchen Fan
Jianchao Yang
N. Xu
Zhaowen Wang
Xinchao Wang
Thomas Huang
SupR
43
356
0
27 Aug 2018
Image Super-Resolution Using Very Deep Residual Channel Attention
  Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Y. Fu
SupR
98
4,295
0
08 Jul 2018
Multi-level Wavelet-CNN for Image Restoration
Multi-level Wavelet-CNN for Image Restoration
Pengju Liu
Hongzhi Zhang
Peng Sun
Liang Lin
W. Zuo
SupR
51
644
0
18 May 2018
Fast and Accurate Single Image Super-Resolution via Information
  Distillation Network
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
Zheng Hui
Xiumei Wang
Xinbo Gao
SupR
41
721
0
26 Mar 2018
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual
  Network
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
Namhyuk Ahn
Byungkon Kang
Kyung-ah Sohn
SupR
57
1,111
0
23 Mar 2018
Residual Dense Network for Image Super-Resolution
Residual Dense Network for Image Super-Resolution
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Y. Fu
SupR
125
3,299
0
24 Feb 2018
Efficient Sparse-Winograd Convolutional Neural Networks
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu
Jeff Pool
Song Han
W. Dally
30
122
0
18 Feb 2018
SBNet: Sparse Blocks Network for Fast Inference
SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren
A. Pokrovsky
Binh Yang
R. Urtasun
97
179
0
07 Jan 2018
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham
Martin Engelcke
Laurens van der Maaten
3DPC
76
1,507
0
28 Nov 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
141
5,871
0
10 Jul 2017
Spatially Adaptive Computation Time for Residual Networks
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov
Maxwell D. Collins
Yukun Zhu
Li Zhang
Jonathan Huang
Dmitry Vetrov
Ruslan Salakhutdinov
44
346
0
07 Dec 2016
Deep Feature Interpolation for Image Content Changes
Deep Feature Interpolation for Image Content Changes
P. Upchurch
Jacob V. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
56
306
0
16 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
311
5,205
0
16 Sep 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
229
10,646
0
15 Sep 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park
Sheng Li
W. Wen
P. T. P. Tang
Hai Helen Li
Yiran Chen
Pradeep Dubey
56
183
0
04 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
93
6,164
0
14 Nov 2015
Sketch-based Manga Retrieval using Manga109 Dataset
Sketch-based Manga Retrieval using Manga109 Dataset
Yusuke Matsui
Kota Ito
Yuji Aramaki
T. Yamasaki
Kiyoharu Aizawa
31
1,159
0
15 Oct 2015
Fast Algorithms for Convolutional Neural Networks
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin
Scott Gray
48
876
0
30 Sep 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
106
8,048
0
31 Dec 2014
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Nicolas Vasilache
Jeff Johnson
Michaël Mathieu
Soumith Chintala
Serkan Piantino
Yann LeCun
40
347
0
24 Dec 2014
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
Fast Training of Convolutional Networks through FFTs
Fast Training of Convolutional Networks through FFTs
Michaël Mathieu
Mikael Henaff
Yann LeCun
99
608
0
20 Dec 2013
Better Mixing via Deep Representations
Better Mixing via Deep Representations
Yoshua Bengio
Grégoire Mesnil
Yann N. Dauphin
Salah Rifai
60
339
0
18 Jul 2012
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