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Markov Decision Process for Video Generation

Markov Decision Process for Video Generation

26 September 2019
V. Yushchenko
Nikita Araslanov
Stefan Roth
    VGen
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Papers citing "Markov Decision Process for Video Generation"

26 / 26 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
393
10,591
0
17 Feb 2020
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
730
0
03 Dec 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
65
453
0
04 Apr 2018
Probabilistic Video Generation using Holistic Attribute Control
Probabilistic Video Generation using Holistic Attribute Control
Jiawei He
Andreas M. Lehrmann
Joseph Marino
Greg Mori
Leonid Sigal
VGen
DiffM
DRL
54
77
0
21 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks
  for Sequence Modeling
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Shaojie Bai
J. Zico Kolter
V. Koltun
DRL
95
4,815
0
04 Mar 2018
Hierarchical Video Generation from Orthogonal Information: Optical Flow
  and Texture
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture
Katsunori Ohnishi
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VGen
GAN
66
60
0
27 Nov 2017
Stochastic Variational Video Prediction
Stochastic Variational Video Prediction
Mohammad Babaeizadeh
Chelsea Finn
D. Erhan
R. Campbell
Sergey Levine
DRL
VGen
75
542
0
30 Oct 2017
Dual Motion GAN for Future-Flow Embedded Video Prediction
Dual Motion GAN for Future-Flow Embedded Video Prediction
Xiaodan Liang
Lisa Lee
Wei-Ming Dai
Eric Xing
GAN
72
366
0
01 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
70
597
0
25 Jun 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
61
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
93
748
0
08 Feb 2017
Temporal Generative Adversarial Nets with Singular Value Clipping
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito
Eiichi Matsumoto
Shunta Saito
GAN
71
449
0
21 Nov 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
71
425
0
03 Oct 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
188
1,468
0
08 Sep 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
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
204
2,513
0
16 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
480
9,052
0
10 Jun 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
73
1,044
0
23 May 2016
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
124
1,882
0
17 Nov 2015
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
132
2,591
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
463
43,305
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Video (language) modeling: a baseline for generative models of natural
  videos
Video (language) modeling: a baseline for generative models of natural videos
MarcÁurelio Ranzato
Arthur Szlam
Joan Bruna
Michaël Mathieu
R. Collobert
S. Chopra
VGen
105
472
0
20 Dec 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
150
6,148
0
03 Dec 2012
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