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Video Frame Interpolation via Adaptive Convolution

Video Frame Interpolation via Adaptive Convolution

22 March 2017
Simon Niklaus
Long Mai
Feng Liu
ArXivPDFHTML

Papers citing "Video Frame Interpolation via Adaptive Convolution"

30 / 80 papers shown
Title
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable
  Exposure Times
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
Omer Dahary
M. Jacoby
A. Bronstein
11
5
0
08 Dec 2020
A New Action Recognition Framework for Video Highlights Summarization in
  Sporting Events
A New Action Recognition Framework for Video Highlights Summarization in Sporting Events
Cheng Yan
Xin Li
Guoqiang Li
EDL
19
12
0
01 Dec 2020
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
Zhengqi Li
Simon Niklaus
Noah Snavely
Oliver Wang
30
792
0
26 Nov 2020
ConvTransformer: A Convolutional Transformer Network for Video Frame
  Synthesis
ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis
Zhouyong Liu
S. Luo
Wubin Li
Jingben Lu
Yufan Wu
Shilei Sun
Chunguo Li
Luxi Yang
ViT
22
79
0
20 Nov 2020
A Unified Framework for Compressive Video Recovery from Coded Exposure
  Techniques
A Unified Framework for Compressive Video Recovery from Coded Exposure Techniques
Prasan A. Shedligeri
Anupama S
Kaushik Mitra
21
8
0
11 Nov 2020
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced
  Motion Modeling
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
Zhixiang Chi
Rasoul Mohammadi Nasiri
Zheng Liu
Juwei Lu
Jin Tang
Konstantinos N Plataniotis
62
70
0
23 Jul 2020
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video
  Interpolation
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
Jun-ho Park
Keunsoo Ko
Chulwoo Lee
Chang-Su Kim
28
203
0
17 Jul 2020
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
Unified Dynamic Convolutional Network for Super-Resolution with
  Variational Degradations
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
Yu-Syuan Xu
Shou-Yao Roy Tseng
Yu-Wen Tseng
Hsien-Kai Kuo
Yi-Min Tsai
SupR
20
122
0
15 Apr 2020
Softmax Splatting for Video Frame Interpolation
Softmax Splatting for Video Frame Interpolation
Simon Niklaus
Feng Liu
21
379
0
11 Mar 2020
Video to Events: Recycling Video Datasets for Event Cameras
Video to Events: Recycling Video Datasets for Event Cameras
Daniel Gehrig
Mathias Gehrig
Javier Hidalgo-Carrió
Davide Scaramuzza
26
209
0
06 Dec 2019
Few-shot Video-to-Video Synthesis
Few-shot Video-to-Video Synthesis
Ting-Chun Wang
Ming-Yu Liu
Andrew Tao
Guilin Liu
Jan Kautz
Bryan Catanzaro
DiffM
VGen
36
367
0
28 Oct 2019
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of
  Burst Images
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images
Bin Zhang
Shenyao Jin
Yili Xia
Yongming Huang
Zixiang Xiong
22
9
0
18 Oct 2019
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed
  Object Tracking
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking
Zheyu Yang
Yujie Wu
Guanrui Wang
Yukuan Yang
Guoqi Li
Lei Deng
Jun Zhu
Luping Shi
23
42
0
15 Sep 2019
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with
  Pixel-Wise Task-Specific Filters for UHD HDR Video
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
S. Kim
Jihyong Oh
Munchurl Kim
8
79
0
10 Sep 2019
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
Hyeongmin Lee
Taeoh Kim
Tae-Young Chung
Daehyun Pak
Yuseok Ban
Sangyoun Lee
19
235
0
24 Jul 2019
Point-to-Point Video Generation
Point-to-Point Video Generation
Tsun-Hsuan Wang
Y. Cheng
Chieh Hubert Lin
Hwann-Tzong Chen
Min Sun
VGen
DiffM
11
21
0
05 Apr 2019
Deep Predictive Video Compression with Bi-directional Prediction
Deep Predictive Video Compression with Bi-directional Prediction
Woonsung Park
Munchurl Kim
16
7
0
05 Apr 2019
Multi-Kernel Prediction Networks for Denoising of Burst Images
Multi-Kernel Prediction Networks for Denoising of Burst Images
Talmaj Marinc
Vignesh Srinivasan
Serhan Gül
C. Hellge
Wojciech Samek
22
26
0
05 Feb 2019
Learning to Synthesize Motion Blur
Learning to Synthesize Motion Blur
Tim Brooks
Jonathan T. Barron
6
78
0
27 Nov 2018
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural
  Network for Video Interpolation and Enhancement
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement
Wenbo Bao
Wei-Sheng Lai
Xiaoyun Zhang
Zhiyong Gao
Ming-Hsuan Yang
19
319
0
20 Oct 2018
Stochastic Dynamics for Video Infilling
Stochastic Dynamics for Video Infilling
Qiangeng Xu
Hanwang Zhang
Weiyue Wang
P. Belhumeur
Ulrich Neumann
DiffM
VGen
30
19
0
01 Sep 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas J. Guibas
AAML
GNN
33
41
0
31 May 2018
PhaseNet for Video Frame Interpolation
PhaseNet for Video Frame Interpolation
Simone Schaub-Meyer
Abdelaziz Djelouah
Brian McWilliams
A. Sorkine-Hornung
Markus Gross
Christopher Schroers
11
179
0
03 Apr 2018
Context-aware Synthesis for Video Frame Interpolation
Context-aware Synthesis for Video Frame Interpolation
Simon Niklaus
Feng Liu
31
405
0
29 Mar 2018
Burst Denoising with Kernel Prediction Networks
Burst Denoising with Kernel Prediction Networks
B. Mildenhall
Jonathan T. Barron
Jiawen Chen
Dillon Sharlet
Ren Ng
Robert E. Carroll
39
390
0
06 Dec 2017
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative
  Adversarial Networks
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Joost R. van Amersfoort
Wenzhe Shi
Alejandro Acosta
Francisco Massa
J. Totz
Zehan Wang
Jose Caballero
GAN
10
40
0
16 Nov 2017
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
214
1,156
0
24 Oct 2016
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
250
921
0
03 Dec 2014
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
149
348
0
07 Feb 2013
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