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Sparsity-guided Network Design for Frame Interpolation

Sparsity-guided Network Design for Frame Interpolation

9 September 2022
Tian Ding
Luming Liang
Zhihui Zhu
Tianyi Chen
Ilya Zharkov
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Papers citing "Sparsity-guided Network Design for Frame Interpolation"

50 / 59 papers shown
Title
ATCA: an Arc Trajectory Based Model with Curvature Attention for Video
  Frame Interpolation
ATCA: an Arc Trajectory Based Model with Curvature Attention for Video Frame Interpolation
Jinfeng Liu
Lingtong Kong
Jie Yang
VGen
54
6
0
01 Aug 2022
JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation
JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation
Meiqin Liu
Chenming Xu
Chao Yao
Chunyu Lin
Yao Zhao
VGen
70
7
0
09 Jun 2022
IFRNet: Intermediate Feature Refine Network for Efficient Frame
  Interpolation
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Lingtong Kong
Boyuan Jiang
Donghao Luo
Wenqing Chu
Xiaoming Huang
Ying Tai
Chengjie Wang
Jie Yang
97
153
0
29 May 2022
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video
  Super-Resolution
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
Z. Geng
Luming Liang
Tianyu Ding
Ilya Zharkov
54
71
0
27 Mar 2022
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach
  to Continuous Image Transition
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition
Tao Yang
Peiran Ren
Xuansong Xie
Xia Hua
Lei Zhang
34
2
0
18 Mar 2022
Enhancing Deformable Convolution based Video Frame Interpolation with
  Coarse-to-fine 3D CNN
Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN
Duolikun Danier
Fan Zhang
David Bull
36
8
0
15 Feb 2022
Splatting-based Synthesis for Video Frame Interpolation
Splatting-based Synthesis for Video Frame Interpolation
Simon Niklaus
Ping Hu
Jiawen Chen
71
28
0
25 Jan 2022
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
Duolikun Danier
Fan Zhang
David Bull
74
46
0
30 Nov 2021
AdaPool: Exponential Adaptive Pooling for Information-Retaining
  Downsampling
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
Alexandros Stergiou
R. Poppe
65
81
0
01 Nov 2021
Only Train Once: A One-Shot Neural Network Training And Pruning
  Framework
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Tianyi Chen
Bo Ji
Tianyu Ding
Biyi Fang
Guanyi Wang
Zhihui Zhu
Luming Liang
Yixin Shi
Sheng Yi
Xiao Tu
85
105
0
15 Jul 2021
CDFI: Compression-Driven Network Design for Frame Interpolation
CDFI: Compression-Driven Network Design for Frame Interpolation
Tianyu Ding
Luming Liang
Zhihui Zhu
Ilya Zharkov
55
97
0
18 Mar 2021
Neural Network Compression Via Sparse Optimization
Neural Network Compression Via Sparse Optimization
Tianyi Chen
Bo Ji
Yixin Shi
Tianyu Ding
Biyi Fang
Sheng Yi
Xiao Tu
58
16
0
10 Nov 2020
Enhanced Quadratic Video Interpolation
Enhanced Quadratic Video Interpolation
Yihao Liu
Liangbin Xie
Liu Siyao
Wenxiu Sun
Yu Qiao
Chao Dong
62
85
0
10 Sep 2020
Video Frame Interpolation via Generalized Deformable Convolution
Video Frame Interpolation via Generalized Deformable Convolution
Zhihao Shi
Xiaohong Liu
Kangdi Shi
Linhui Dai
Jun Chen
69
16
0
24 Aug 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
93
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
134
207
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
120
134
0
15 Jun 2020
Orthant Based Proximal Stochastic Gradient Method for
  $\ell_1$-Regularized Optimization
Orthant Based Proximal Stochastic Gradient Method for ℓ1\ell_1ℓ1​-Regularized Optimization
Tianyi Chen
Tianyu Ding
Bo Ji
Guanyi Wang
Jing Tian
Yixin Shi
Sheng Yi
Xiao Tu
Zhihui Zhu
43
28
0
07 Apr 2020
Softmax Splatting for Video Frame Interpolation
Softmax Splatting for Video Frame Interpolation
Simon Niklaus
Feng Liu
136
388
0
11 Mar 2020
Quadratic video interpolation
Quadratic video interpolation
Xiangyu Xu
Liu Siyao
Wenxiu Sun
Qian Yin
Ming-Hsuan Yang
106
225
0
02 Nov 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
75
242
0
24 Jul 2019
Depth-Aware Video Frame Interpolation
Depth-Aware Video Frame Interpolation
Wenbo Bao
Wei-Sheng Lai
Chao Ma
Xiaoyun Zhang
Zhiyong Gao
Ming-Hsuan Yang
MDE
117
504
0
01 Apr 2019
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level
  Discrimination
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination
Liangzhe Yuan
Yibo Chen
Hantian Liu
Tao Kong
Jianbo Shi
58
29
0
04 Dec 2018
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
95
2,011
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
85
321
0
20 Oct 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
50
181
0
03 Apr 2018
Context-aware Synthesis for Video Frame Interpolation
Context-aware Synthesis for Video Frame Interpolation
Simon Niklaus
Feng Liu
90
410
0
29 Mar 2018
Model compression via distillation and quantization
Model compression via distillation and quantization
A. Polino
Razvan Pascanu
Dan Alistarh
MQ
83
731
0
15 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
93
1,347
0
10 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,790
0
11 Jan 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for
  Video Interpolation
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang
Deqing Sun
Varun Jampani
Ming-Hsuan Yang
Erik Learned-Miller
Jan Kautz
108
788
0
30 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
72
1,095
0
23 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model
  compression
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
191
1,276
0
05 Oct 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
251
2,444
0
07 Sep 2017
Video Frame Interpolation via Adaptive Separable Convolution
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus
Long Mai
Feng Liu
102
700
0
05 Aug 2017
Residual Conv-Deconv Grid Network for Semantic Segmentation
Residual Conv-Deconv Grid Network for Semantic Segmentation
Damien Fourure
Rémi Emonet
Elisa Fromont
Damien Muselet
A. Trémeau
Christian Wolf
SSeg
59
220
0
25 Jul 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
77
503
0
22 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
196
5,330
0
17 Mar 2017
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
167
417
0
13 Feb 2017
Video Frame Synthesis using Deep Voxel Flow
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu
Raymond A. Yeh
Xiaoou Tang
Yiming Liu
A. Agarwala
93
748
0
08 Feb 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,079
0
06 Dec 2016
Learning-Based View Synthesis for Light Field Cameras
Learning-Based View Synthesis for Light Field Cameras
N. Kalantari
Tingxian Wang
R. Ramamoorthi
3DV
124
683
0
09 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
193
3,696
0
31 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
176
2,337
0
12 Aug 2016
View Synthesis by Appearance Flow
View Synthesis by Appearance Flow
Tinghui Zhou
Shubham Tulsiani
Weilun Sun
Jitendra Malik
Alexei A. Efros
126
692
0
11 May 2016
Learning Image Matching by Simply Watching Video
Learning Image Matching by Simply Watching Video
Gucan Long
L. Kneip
J. Álvarez
Hongdong Li
58
205
0
19 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
255
8,833
0
01 Oct 2015
DeepStereo: Learning to Predict New Views from the World's Imagery
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn
Ivan Neulander
James Philbin
Noah Snavely
3DV
112
652
0
22 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
310
6,672
0
08 Jun 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
175
449
0
08 Jun 2015
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