ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1804.04065
  4. Cited By
Learning to Extract a Video Sequence from a Single Motion-Blurred Image

Learning to Extract a Video Sequence from a Single Motion-Blurred Image

11 April 2018
Meiguang Jin
Givi Meishvili
Paolo Favaro
ArXiv (abs)PDFHTML

Papers citing "Learning to Extract a Video Sequence from a Single Motion-Blurred Image"

18 / 18 papers shown
Title
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution
  from a Blurred Image Sequence
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence
Haesol Park
Kyoung Mu Lee
3DVSupR
56
53
0
18 Sep 2017
Learning Blind Motion Deblurring
Learning Blind Motion Deblurring
P. Wieschollek
M. Hirsch
Bernhard Schölkopf
Hendrik P. A. Lensch
51
151
0
14 Aug 2017
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear
  Kernel
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel
Wenqi Ren
Jin-shan Pan
Xiaochun Cao
Ming-Hsuan Yang
64
96
0
11 Aug 2017
Online Video Deblurring via Dynamic Temporal Blending Network
Online Video Deblurring via Dynamic Temporal Blending Network
Tae Hyun Kim
Kyoung Mu Lee
Bernhard Schölkopf
M. Hirsch
81
165
0
11 Apr 2017
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
Liyuan Pan
Yuchao Dai
Miaomiao Liu
Fatih Porikli
55
61
0
11 Apr 2017
Motion Deblurring in the Wild
Motion Deblurring in the Wild
M. Noroozi
Paramanand Chandramouli
Paolo Favaro
76
128
0
05 Jan 2017
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing
  Heterogeneous Motion Blur
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur
Dong Gong
Jie Yang
Lingqiao Liu
Yanning Zhang
Ian Reid
Chunhua Shen
Anton Van Den Hengel
Javen Qinfeng Shi
91
392
0
08 Dec 2016
Deep Multi-scale Convolutional Neural Network for Dynamic Scene
  Deblurring
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah
Tae Hyun Kim
Kyoung Mu Lee
147
1,981
0
07 Dec 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
340
5,243
0
16 Sep 2016
Stereo Video Deblurring
Stereo Video Deblurring
A. Sellent
Carsten Rother
Stefan Roth
43
51
0
28 Jul 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
262
10,267
0
27 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
A Neural Approach to Blind Motion Deblurring
A Neural Approach to Blind Motion Deblurring
Ayan Chakrabarti
69
433
0
15 Mar 2016
Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model
Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model
Tae Hyun Kim
Seungjun Nah
Kyoung Mu Lee
60
23
0
14 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
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
144
2,508
0
14 Nov 2015
Learning a Convolutional Neural Network for Non-uniform Motion Blur
  Removal
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
Jian Sun
Wenfei Cao
Zongben Xu
Jean Ponce
81
842
0
02 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
1