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Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and
  Cycle Idempotence

Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence

2 March 2022
Zhihong Pan
Baopu Li
Dongliang He
Mingde Yao
Wenhao Wu
Tianwei Lin
Xin Li
Errui Ding
    SupR
    OOD
ArXivPDFHTML

Papers citing "Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence"

14 / 14 papers shown
Title
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSL
SupR
CLL
87
676
0
16 Dec 2020
Component Divide-and-Conquer for Real-World Image Super-Resolution
Component Divide-and-Conquer for Real-World Image Super-Resolution
Pengxu Wei
Ziwei Xie
Hannan Lu
Zongyuan Zhan
QiXiang Ye
W. Zuo
Liang Lin
SupR
116
237
0
05 Aug 2020
Invertible Image Rescaling
Invertible Image Rescaling
Mingqing Xiao
Shuxin Zheng
Chang-Shu Liu
Yaolong Wang
Di He
Guolin Ke
Jiang Bian
Zhouchen Lin
Tie-Yan Liu
SupR
72
236
0
12 May 2020
Learning A Single Network for Scale-Arbitrary Super-Resolution
Learning A Single Network for Scale-Arbitrary Super-Resolution
Longguang Wang
Yingqian Wang
Zaiping Lin
Jungang Yang
W. An
Yulan Guo
SupR
59
114
0
08 Apr 2020
Learned Image Downscaling for Upscaling using Content Adaptive Resampler
Learned Image Downscaling for Upscaling using Content Adaptive Resampler
Wanjie Sun
Zhenzhong Chen
DiffM
SupR
68
137
0
22 Jul 2019
Toward Real-World Single Image Super-Resolution: A New Benchmark and A
  New Model
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model
Jianrui Cai
Huiyu Zeng
Hongwei Yong
Zisheng Cao
Lei Zhang
SupR
82
506
0
01 Apr 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu
Haoyuan Mu
Xiangyu Zhang
Zilei Wang
Tieniu Tan
Jian Sun
SupR
76
405
0
03 Mar 2019
Analyzing Inverse Problems with Invertible Neural Networks
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone
Jakob Kruse
Sebastian J. Wirkert
D. Rahner
E. Pellegrini
R. Klessen
Lena Maier-Hein
Carsten Rother
Ullrich Kothe
60
493
0
14 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
103
4,323
0
08 Jul 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
138
3,320
0
24 Feb 2018
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
173
5,908
0
10 Jul 2017
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
88
746
0
24 Mar 2016
Deeply-Recursive Convolutional Network for Image Super-Resolution
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
135
2,506
0
14 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
1