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Path-Restore: Learning Network Path Selection for Image Restoration

Path-Restore: Learning Network Path Selection for Image Restoration

23 April 2019
K. Yu
Xintao Wang
Chao Dong
Xiaoou Tang
Chen Change Loy
ArXivPDFHTML

Papers citing "Path-Restore: Learning Network Path Selection for Image Restoration"

14 / 14 papers shown
Title
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Eduard Zamfir
Zongwei Wu
Nancy Mehta
Yuedong Tan
Danda Pani Paudel
Yulun Zhang
Radu Timofte
MoE
157
1
0
27 Nov 2024
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
Chee Hong
Sungyong Baik
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
MQ
23
32
0
21 Jul 2022
RepSR: Training Efficient VGG-style Super-Resolution Networks with
  Structural Re-Parameterization and Batch Normalization
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization
Xintao Wang
Chao Dong
Ying Shan
22
48
0
11 May 2022
ARM: Any-Time Super-Resolution Method
ARM: Any-Time Super-Resolution Method
Bohong Chen
Mingbao Lin
Kekai Sheng
Mengdan Zhang
Peixian Chen
Ke Li
Liujuan Cao
Rongrong Ji
SupR
28
31
0
21 Mar 2022
Multi-Scale Adaptive Network for Single Image Denoising
Multi-Scale Adaptive Network for Single Image Denoising
Yuanbiao Gou
Peng Hu
Jiancheng Lv
Joey Tianyi Zhou
Xiaocui Peng
16
27
0
08 Mar 2022
C2N: Practical Generative Noise Modeling for Real-World Denoising
C2N: Practical Generative Noise Modeling for Real-World Denoising
Geonwoon Jang
Wooseok Lee
Sanghyun Son
Kyoung Mu Lee
DiffM
25
78
0
19 Feb 2022
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure
  Synthetic Data
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Xintao Wang
Liangbin Xie
Chao Dong
Ying Shan
35
1,102
0
22 Jul 2021
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks
  for Image Denoising via Residual Recovery
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery
Rongkai Zhang
Jiang Zhu
Zhiyuan Zha
Justin Dauwels
B. Wen
23
6
0
12 Jul 2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by
  Data Characteristic
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
Xiangtao Kong
Hengyuan Zhao
Yu Qiao
Chao Dong
24
156
0
06 Mar 2021
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts
  Network
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
Sijin Kim
Namhyuk Ahn
Kyung-ah Sohn
23
7
0
30 Sep 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging
  Problems
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Carola-Bibiane Schönlieb
Hua Huang
13
103
0
22 Feb 2020
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet
  Path Networks
Breast Ultrasound Computer-Aided Diagnosis Using Structure-Aware Triplet Path Networks
Erlei Zhang
Zi Yang
S. Seiler
Mingli Chen
W. Lu
X. Gu
MedIm
9
2
0
09 Aug 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
227
7,903
0
13 Jun 2015
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