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Blurry Video Frame Interpolation

Blurry Video Frame Interpolation

27 February 2020
Wang Shen
Wenbo Bao
Guangtao Zhai
Li Chen
Xiongkuo Min
Zhiyong Gao
ArXivPDFHTML

Papers citing "Blurry Video Frame Interpolation"

14 / 14 papers shown
Title
Motion Blur Decomposition with Cross-shutter Guidance
Motion Blur Decomposition with Cross-shutter Guidance
Xiang Ji
Haiyang Jiang
Yinqiang Zheng
30
0
0
01 Apr 2024
Lightweight High-Speed Photography Built on Coded Exposure and Implicit
  Neural Representation of Videos
Lightweight High-Speed Photography Built on Coded Exposure and Implicit Neural Representation of Videos
Zhihong Zhang
Runzhao Yang
J. Suo
Yuxiao Cheng
Qionghai Dai
29
0
0
22 Nov 2023
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System
Ming Cheng
Yiling Xu
Wang Shen
M. Salman Asif
Chao Ma
Jun Sun
Zhan Ma
23
3
0
04 Aug 2022
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules
  with Look-ahead Forward Ones
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
Junyi Li
Xiaohe Wu
Zhenxing Niu
W. Zuo
15
18
0
12 Apr 2022
Unifying Motion Deblurring and Frame Interpolation with Events
Unifying Motion Deblurring and Frame Interpolation with Events
Xiang Zhang
Lei Yu
20
80
0
23 Mar 2022
Splatting-based Synthesis for Video Frame Interpolation
Splatting-based Synthesis for Video Frame Interpolation
Simon Niklaus
Ping Hu
Jiawen Chen
24
28
0
25 Jan 2022
Video Reconstruction from a Single Motion Blurred Image using Learned
  Dynamic Phase Coding
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding
E. Yosef
Shay Elmalem
Raja Giryes
27
5
0
28 Dec 2021
Video Frame Interpolation without Temporal Priors
Video Frame Interpolation without Temporal Priors
Youjian Zhang
Chaoyue Wang
Dacheng Tao
32
31
0
02 Dec 2021
FREGAN : an application of generative adversarial networks in enhancing
  the frame rate of videos
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos
Rishik Mishra
Neeraj Gupta
Nitya Shukla
37
0
0
01 Nov 2021
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving
  Objects
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
D. Rozumnyi
Martin R. Oswald
V. Ferrari
Marc Pollefeys
3DH
26
11
0
16 Jun 2021
XVFI: eXtreme Video Frame Interpolation
XVFI: eXtreme Video Frame Interpolation
Hyeonjun Sim
Jihyong Oh
Munchurl Kim
46
164
0
30 Mar 2021
Multiple Video Frame Interpolation via Enhanced Deformable Separable
  Convolution
Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution
Xianhang Cheng
Zhenzhong Chen
28
128
0
15 Jun 2020
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
192
5,175
0
16 Sep 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
230
7,903
0
13 Jun 2015
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