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1703.07514
Cited By
Video Frame Interpolation via Adaptive Convolution
22 March 2017
Simon Niklaus
Long Mai
Feng Liu
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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
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M. Jacoby
A. Bronstein
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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
Zhengqi Li
Simon Niklaus
Noah Snavely
Oliver Wang
30
792
0
26 Nov 2020
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
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
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
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
Xianhang Cheng
Zhenzhong Chen
28
128
0
15 Jun 2020
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
Simon Niklaus
Feng Liu
21
379
0
11 Mar 2020
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
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
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
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
S. Kim
Jihyong Oh
Munchurl Kim
8
79
0
10 Sep 2019
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
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
Woonsung Park
Munchurl Kim
16
7
0
05 Apr 2019
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
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
Wenbo Bao
Wei-Sheng Lai
Xiaoyun Zhang
Zhiyong Gao
Ming-Hsuan Yang
19
319
0
20 Oct 2018
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
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas J. Guibas
AAML
GNN
33
41
0
31 May 2018
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
Simon Niklaus
Feng Liu
31
405
0
29 Mar 2018
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
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
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
214
1,156
0
24 Oct 2016
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
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
149
348
0
07 Feb 2013
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