|
+
PDF
Chat
|
Residual Dense Network for Image Super-Resolution
|
2018
|
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Yun Fu
|
7
|
|
+
PDF
Chat
|
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
|
2016
|
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
|
6
|
|
+
PDF
Chat
|
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
|
2018
|
Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
|
6
|
|
+
PDF
Chat
|
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
|
2018
|
Yulun Zhang
Kunpeng Li
Kai Li
Lichen Wang
Bineng Zhong
Yun Fu
|
6
|
|
+
PDF
Chat
|
Enhanced Deep Residual Networks for Single Image Super-Resolution
|
2017
|
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
|
6
|
|
+
PDF
Chat
|
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
|
2019
|
Xintao Wang
Ke Yu
Shixiang Wu
Jinjin Gu
Yihao Liu
Chao Dong
Yu Qiao
Chen Change Loy
|
5
|
|
+
PDF
Chat
|
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
|
2016
|
Wenzhe Shi
José Caballero
Ferenc Huszár
Johannes Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
|
5
|
|
+
PDF
Chat
|
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
|
2017
|
Wei‐Sheng Lai
Jia‐Bin Huang
Narendra Ahuja
Ming–Hsuan Yang
|
4
|
|
+
PDF
Chat
|
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
|
2017
|
Christian Ledig
Lucas Theis
Ferenc Huszár
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
|
4
|
|
+
PDF
Chat
|
Residual Dense Network for Image Restoration
|
2020
|
Yulun Zhang
Yapeng Tian
Yu Kong
Bineng Zhong
Yun Fu
|
4
|
|
+
PDF
Chat
|
Deep Back-Projection Networks for Super-Resolution
|
2018
|
Muhammad Haris
Greg Shakhnarovich
Norimichi Ukita
|
4
|
|
+
PDF
Chat
|
Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
4
|
|
+
PDF
Chat
|
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
|
2016
|
Justin Johnson
Alexandre Alahi
Li Fei-Fei
|
4
|
|
+
PDF
Chat
|
SwinIR: Image Restoration Using Swin Transformer
|
2021
|
Jingyun Liang
Jiezhang Cao
Guolei Sun
Kai Zhang
Luc Van Gool
Radu Timofte
|
4
|
|
+
PDF
Chat
|
Restormer: Efficient Transformer for High-Resolution Image Restoration
|
2022
|
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming–Hsuan Yang
|
3
|
|
+
PDF
Chat
|
Deeply-Recursive Convolutional Network for Image Super-Resolution
|
2016
|
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
|
3
|
|
+
PDF
Chat
|
Deep Burst Super-Resolution
|
2021
|
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
|
3
|
|
+
PDF
Chat
|
NTIRE 2020 Challenge on NonHomogeneous Dehazing
|
2020
|
Codruta O. Ancuti
Cosmin Ancuţi
Florin-Alexandru Vasluianu
Radu Timofte
Jing Liu
Haiyan Wu
Yuan Xie
Yanyun Qu
Lizhuang Ma
Ziling Huang
|
3
|
|
+
|
Multi chaotic systems based pixel shuffle for image encryption
|
2009
|
Chi-Chih Huang
Hsiau-Hsian Nien
|
3
|
|
+
PDF
Chat
|
Residual Feature Distillation Network for Lightweight Image Super-Resolution
|
2020
|
Jie Liu
Jie Tang
Gangshan Wu
|
3
|
|
+
PDF
Chat
|
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
|
2021
|
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
|
3
|
|
+
PDF
Chat
|
Uformer: A General U-Shaped Transformer for Image Restoration
|
2022
|
Zhendong Wang
Xiaodong Cun
Jianmin Bao
Wengang Zhou
Jianzhuang Liu
Houqiang Li
|
3
|
|
+
PDF
Chat
|
Deep Constrained Least Squares for Blind Image Super-Resolution
|
2022
|
Ziwei Luo
Haibin Huang
Lei Yu
Youwei Li
Haoqiang Fan
Shuaicheng Liu
|
3
|
|
+
PDF
Chat
|
Simple Baselines for Image Restoration
|
2022
|
Liangyu Chen
Xiaojie Chu
Xiangyu Zhang
Jian Sun
|
3
|
|
+
PDF
Chat
|
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results
|
2023
|
Longguang Wang
Yulan Guo
Yingqian Wang
Juncheng Li
Shuhang Gu
Radu Timofte
Ming Cheng
Haoyu Ma
Qiufang Ma
Xiaopeng Sun
|
3
|
|
+
|
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
|
2022
|
Xingyu Xie
Pan Zhou
Huan Li
Zhouchen Lin
Shuicheng Yan
|
2
|
|
+
PDF
Chat
|
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment
|
2022
|
Ziwei Luo
Youwei Li
Shen Cheng
Lei Yu
Qi Wu
Wen Zhi-hong
Haoqiang Fan
Jian Sun
Shuaicheng Liu
|
2
|
|
+
PDF
Chat
|
NAFSSR: Stereo Image Super-Resolution Using NAFNet
|
2022
|
Xiaojie Chu
Liangyu Chen
Wenqing Yu
|
2
|
|
+
|
Proximal Policy Optimization Algorithms
|
2017
|
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
|
2
|
|
+
|
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
|
2022
|
Dafeng Zhang
Feiyu Huang
Shizhuo Liu
Xiaobing Wang
Jin Zhe-zhu
|
2
|
|
+
PDF
Chat
|
Anchor-based Plain Net for Mobile Image Super-Resolution
|
2021
|
Zongcai Du
Jie Liu
Jie Tang
Gangshan Wu
|
2
|
|
+
|
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
|
2015
|
Sergey Ioffe
Christian Szegedy
|
2
|
|
+
PDF
Chat
|
Symmetric Parallax Attention for Stereo Image Super-Resolution
|
2021
|
Yingqian Wang
Xinyi Ying
Longguang Wang
Jungang Yang
Wei An
Yulan Guo
|
2
|
|
+
PDF
Chat
|
Pre-Trained Image Processing Transformer
|
2021
|
Hanting Chen
Yunhe Wang
Tianyu Guo
Chang Xu
Yiping Deng
Zhenhua Liu
Siwei Ma
Chunjing Xu
Chao Xu
Wen Gao
|
2
|
|
+
|
PyTorch: An Imperative Style, High-Performance Deep Learning Library
|
2019
|
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
|
2
|
|
+
|
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
|
2020
|
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
Thomas Unterthiner
Mostafa Dehghani
Matthias Minderer
Georg Heigold
Sylvain Gelly
|
2
|
|
+
PDF
Chat
|
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
|
2017
|
Kai Zhang
Wangmeng Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
|
2
|
|
+
PDF
Chat
|
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
|
2020
|
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
|
2
|
|
+
|
Soft Actor-Critic Algorithms and Applications
|
2018
|
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
Jie Tan
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
|
2
|
|
+
PDF
Chat
|
Accelerating the Super-Resolution Convolutional Neural Network
|
2016
|
Chao Dong
Chen Change Loy
Xiaoou Tang
|
2
|
|
+
PDF
Chat
|
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution
|
2019
|
Yingqian Wang
Longguang Wang
Jungang Yang
Wei An
Yulan Guo
|
2
|
|
+
PDF
Chat
|
Deep Unfolding Network for Image Super-Resolution
|
2020
|
Kai Zhang
Luc Van Gool
Radu Timofte
|
2
|
|
+
PDF
Chat
|
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
|
2018
|
Namhyuk Ahn
Byungkon Kang
Kyung-Ah Sohn
|
2
|
|
+
|
Decoupled Weight Decay Regularization
|
2017
|
Ilya Loshchilov
Frank Hutter
|
2
|
|
+
PDF
Chat
|
Replacing Mobile Camera ISP with a Single Deep Learning Model
|
2020
|
Andrey Ignatov
Luc Van Gool
Radu Timofte
|
2
|
|
+
|
Denoising Diffusion Probabilistic Models
|
2020
|
Jonathan Ho
Ajay N. Jain
Pieter Abbeel
|
2
|
|
+
|
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
2014
|
Karen Simonyan
Andrew Zisserman
|
2
|
|
+
PDF
Chat
|
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
|
2017
|
Mehdi S. M. Sajjadi
Bernhard Schölkopf
Michael Hirsch
|
2
|
|
+
PDF
Chat
|
Image Super-Resolution Using Deep Convolutional Networks
|
2015
|
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
|
2
|
|
+
PDF
Chat
|
Non-local Neural Networks
|
2018
|
Xiaolong Wang
Ross Girshick
Abhinav Gupta
Kaiming He
|
2
|