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From Here to There: Video Inbetweening Using Direct 3D Convolutions

From Here to There: Video Inbetweening Using Direct 3D Convolutions

24 May 2019
Yunpeng Li
Dominik Roblek
Marco Tagliasacchi
    VGen
ArXivPDFHTML

Papers citing "From Here to There: Video Inbetweening Using Direct 3D Convolutions"

41 / 41 papers shown
Title
Towards Accurate Generative Models of Video: A New Metric & Challenges
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner
Sjoerd van Steenkiste
Karol Kurach
Raphaël Marinier
Marcin Michalski
Sylvain Gelly
EGVM
VGen
91
727
0
03 Dec 2018
Style Separation and Synthesis via Generative Adversarial Networks
Style Separation and Synthesis via Generative Adversarial Networks
Harry Sevi
Sheng Tang
Yu Li
Junbo Guo
Yongdong Zhang
Jintao Li
Shuicheng Yan
GAN
50
17
0
07 Nov 2018
FutureGAN: Anticipating the Future Frames of Video Sequences using
  Spatio-Temporal 3d Convolutions in Progressively Growing GANs
FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing GANs
Sandra Aigner
Marco Korner
AI4TS
50
74
0
02 Oct 2018
Stochastic Dynamics for Video Infilling
Stochastic Dynamics for Video Infilling
Qiangeng Xu
Hanwang Zhang
Weiyue Wang
P. Belhumeur
Ulrich Neumann
DiffM
VGen
52
19
0
01 Sep 2018
Hierarchical Long-term Video Prediction without Supervision
Hierarchical Long-term Video Prediction without Supervision
Nevan Wichers
Ruben Villegas
D. Erhan
Honglak Lee
VGen
61
134
0
12 Jun 2018
Stochastic Adversarial Video Prediction
Stochastic Adversarial Video Prediction
Alex X. Lee
Richard Y. Zhang
F. Ebert
Pieter Abbeel
Chelsea Finn
Sergey Levine
DRL
VGen
GAN
63
453
0
04 Apr 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
48
181
0
03 Apr 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
80
526
0
21 Feb 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
787
0
30 Nov 2017
Stochastic Variational Video Prediction
Stochastic Variational Video Prediction
Mohammad Babaeizadeh
Chelsea Finn
D. Erhan
R. Campbell
Sergey Levine
DRL
VGen
73
542
0
30 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
123
7,351
0
27 Oct 2017
Self-Supervised Visual Planning with Temporal Skip Connections
Self-Supervised Visual Planning with Temporal Skip Connections
F. Ebert
Chelsea Finn
Alex X. Lee
Sergey Levine
SSL
73
320
0
15 Oct 2017
Video Frame Interpolation via Adaptive Separable Convolution
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus
Long Mai
Feng Liu
99
700
0
05 Aug 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
129
1,147
0
17 Jul 2017
Decomposing Motion and Content for Natural Video Sequence Prediction
Decomposing Motion and Content for Natural Video Sequence Prediction
Ruben Villegas
Jimei Yang
Seunghoon Hong
Xunyu Lin
Honglak Lee
62
597
0
25 Jun 2017
Video Imagination from a Single Image with Transformation Generation
Video Imagination from a Single Image with Transformation Generation
Baoyang Chen
Wenmin Wang
Jinzhuo Wang
Xiongtao Chen
EGVM
VGen
55
50
0
13 Jun 2017
Long-Term Video Interpolation with Bidirectional Predictive Network
Long-Term Video Interpolation with Bidirectional Predictive Network
Xiongtao Chen
Wenmin Wang
Jinzhuo Wang
Weimian Li
Baoyang Chen
53
17
0
13 Jun 2017
Stabilizing Training of Generative Adversarial Networks through
  Regularization
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth
Aurelien Lucchi
Sebastian Nowozin
Thomas Hofmann
GAN
50
445
0
25 May 2017
Learning to Generate Long-term Future via Hierarchical Prediction
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas
Jimei Yang
Yuliang Zou
Sungryull Sohn
Xunyu Lin
Honglak Lee
56
380
0
19 Apr 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
90
748
0
08 Feb 2017
Transformation-Based Models of Video Sequences
Transformation-Based Models of Video Sequences
Joost R. van Amersfoort
A. Kannan
MarcÁurelio Ranzato
Arthur Szlam
Du Tran
Soumith Chintala
ViT
67
76
0
29 Jan 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
Temporal Generative Adversarial Nets with Singular Value Clipping
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito
Eiichi Matsumoto
Shunta Saito
GAN
67
449
0
21 Nov 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
180
1,468
0
08 Sep 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
389
10,481
0
21 Jul 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
82
415
0
09 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
40
513
0
25 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
87
58
0
31 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
83
929
0
25 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
70
1,043
0
23 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
248
14,005
0
19 Nov 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
122
1,882
0
17 Nov 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
103
852
0
31 Jul 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
130
2,590
0
16 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
450
43,277
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
442
43,635
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,338
0
03 Jun 2014
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIP
VGen
143
6,145
0
03 Dec 2012
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