End-to-End Learning of Video Super-Resolution with Motion Compensation

Type: Book-Chapter

Publication Date: 2017-01-01

Citations: 57

DOI: https://doi.org/10.1007/978-3-319-66709-6_17

Locations

  • Lecture notes in computer science - View
  • arXiv (Cornell University) - View - PDF

Similar Works

Action Title Year Authors
+ End-to-End Learning of Video Super-Resolution with Motion Compensation 2017 Osama Makansi
Eddy Ilg
Thomas Brox
+ End-to-End Learning of Video Super-Resolution with Motion Compensation 2017 Osama Makansi
Eddy Ilg
Thomas Brox
+ PDF Chat Video super-resolution based on deep learning: a comprehensive survey 2022 Hongying Liu
Zhubo Ruan
Peng Zhao
Chao Dong
Fanhua Shang
Yuanyuan Liu
Linlin Yang
Radu Timofte
+ Optical Flow for Video Super-Resolution: A Survey 2022 Zhigang Tu
Hongyan Li
Wei Xie
Yuanzhong Liu
Shifu Zhang
Baoxin Li
Junsong Yuan
+ Video Super Resolution Based on Deep Learning: A Comprehensive Survey 2020 Hongying Liu
Zhubo Ruan
Peng Zhao
Chao Dong
Fanhua Shang
Yuanyuan Liu
Linlin Yang
Radu Timofte
+ Deep Learning for Image Super-Resolution: A Survey 2020 Zhihao Wang
Jian Chen
Steven C. H. Hoi
+ Deep Learning for Image Super-resolution: A Survey 2019 Zhihao Wang
Jian Chen
Steven C. H. Hoi
+ PDF Chat Learning for Video Super-Resolution Through HR Optical Flow Estimation 2019 Longguang Wang
Yulan Guo
Zaiping Lin
Xinpu Deng
Wei An
+ PDF Chat Multimedia super-resolution via deep learning: A survey 2018 Khizar Hayat
+ PDF Chat End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation 2020 Xiaohong Liu
Lingshi Kong
Yang Zhou
Jiying Zhao
Jun Chen
+ End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation 2020 Xiaohong Liu
Lingshi Kong
Yang Zhou
Jiying Zhao
Jun Chen
+ PDF Chat NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework 2024 Tong Yuan
Mengshun Hu
Zheng Wang
+ PDF Chat Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution 2022 Jie Liang
Hui Zeng
Lei Zhang
+ NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework 2023 Tong Yuan
Mengshun Hu
Zheng Wang
+ Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation 2021 Noam Elron
Alex Itskovich
Shahar S. Yuval
Noam Levy
+ Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation. 2021 Noam Elron
Alex Itskovich
Shahar S. Yuval
Noam Levy
+ PDF Chat Single image super-resolution based on a modified U-net with mixed gradient loss 2021 Zhengyang Lu
Ying Chen
+ PDF Chat Detail-Revealing Deep Video Super-Resolution 2017 Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
+ PDF Chat Towards Interpretable Video Super-Resolution via Alternating Optimization 2022 Jiezhang Cao
Jingyun Liang
Kai Zhang
Wenguan Wang
Qin Wang
Yulun Zhang
Hao Tang
Luc Van Gool
+ Single Image Super-Resolution Methods: A Survey 2022 Bahattin Can Maral

Works That Cite This (28)

Action Title Year Authors
+ PDF Chat A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models 2020 Santiago LĂłpez-Tapia
Alice Lucas
Rafael Molina
Aggelos K. Katsaggelos
+ Deep Video Super-Resolution using HR Optical Flow Estimation 2020 Longguang Wang
Yulan Guo
Li Liu
Zaiping Lin
Xinpu Deng
Wei An
+ PDF Chat Frame-Recurrent Video Super-Resolution 2018 Mehdi S. M. Sajjadi
Raviteja Vemulapalli
Matthew A. Brown
+ PDF Chat Efficient Video Super-Resolution through Recurrent Latent Space Propagation 2019 Dario Fuoli
Shuhang Gu
Radu Timofte
+ FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss 2019 Soo Ye Kim
Jihyong Oh
Munchurl Kim
+ Smart Cameras 2020 David J. Brady
Minghao Hu
Chengyu Wang
Xuefei Yan
Lu Fang
Yiwnheng Zhu
Yang Tan
Ming Cheng
Zhan Ma
+ AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results 2020 Dario Fuoli
Zhiwu Huang
Shuhang Gu
Radu Timofte
Arnau RaventĂłs
Aryan Esfandiari
Salah Karout
Xuan Xu
Xin Li
Xin Xiong
+ AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results 2020 Dario Fuoli
Zhiwu Huang
Shuhang Gu
Radu Timofte
Arnau RaventĂłs
Aryan Esfandiari
Salah Karout
Xuan Xu
Xin Li
Xin Xiong
+ AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results 2019 Dario Fuoli
Shuhang Gu
Radu Timofte
Xin Tao
Wenbo Li
Taian Guo
Zijun Deng
Liying Lu
Tao Dai
Xiaoyong Shen
+ PDF Chat Video Enhancement with Task-Oriented Flow 2019 Tianfan Xue
Baian Chen
Jiajun Wu
Donglai Wei
William T. Freeman

Works Cited by This (12)

Action Title Year Authors
+ PDF Chat Image Super-Resolution Using Deep Convolutional Networks 2015 Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
+ PDF Chat Deeply-Recursive Convolutional Network for Image Super-Resolution 2016 Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
+ PDF Chat Accurate Image Super-Resolution Using Very Deep Convolutional Networks 2016 Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
+ 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
+ PDF Chat Accelerating the Super-Resolution Convolutional Neural Network 2016 Chao Dong
Chen Change Loy
Xiaoou Tang
+ PDF Chat Optical Flow Estimation Using a Spatial Pyramid Network 2017 Anurag Ranjan
Michael J. Black
+ PDF Chat FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks 2017 Eddy Ilg
N. Michael Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
+ Detail-revealing Deep Video Super-resolution 2017 Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
+ FlowNet: Learning Optical Flow with Convolutional Networks 2015 Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
Caner Hazırbaş
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
+ Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation 2016 José Caballero
Christian Ledig
Andrew P. Aitken
Alejandro Acosta
Johannes Totz
Zehan Wang
Wenzhe Shi