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Compositional Video Prediction

Compositional Video Prediction

22 August 2019
Yufei Ye
Maneesh Singh
Abhinav Gupta
Shubham Tulsiani
ArXivPDFHTML

Papers citing "Compositional Video Prediction"

35 / 35 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
106
30,021
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
142
10,591
0
17 Feb 2020
Interpretable Intuitive Physics Model
Interpretable Intuitive Physics Model
Tian-Chun Ye
Xinyu Wang
James Davidson
Abhinav Gupta
DRL
AI4CE
36
57
0
29 Aug 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human
  Dynamics
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
Xinchen Yan
Akash Rastogi
Ruben Villegas
Kalyan Sunkavalli
Eli Shechtman
Sunil Hadap
Ersin Yumer
Honglak Lee
41
151
0
14 Aug 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
161
305
0
11 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
358
3,101
0
04 Jun 2018
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised
  Object Stacking
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
Oliver Groth
F. Fuchs
Ingmar Posner
Andrea Vedaldi
39
100
0
21 Apr 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
65
525
0
21 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
249
11,610
0
11 Jan 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
132
3,926
0
30 Nov 2017
Stochastic Variational Video Prediction
Stochastic Variational Video Prediction
Mohammad Babaeizadeh
Chelsea Finn
D. Erhan
R. Campbell
Sergey Levine
DRL
VGen
54
540
0
30 Oct 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
107
1,138
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
44
595
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
40
50
0
13 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNN
NAI
98
1,610
0
05 Jun 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRL
CoGe
OOD
54
552
0
31 May 2017
Motion Prediction Under Multimodality with Conditional Stochastic
  Networks
Motion Prediction Under Multimodality with Conditional Stochastic Networks
Katerina Fragkiadaki
Jonathan Huang
Alexander A. Alemi
Sudheendra Vijayanarasimhan
Susanna Ricco
Rahul Sukthankar
3DH
46
25
0
05 May 2017
The Pose Knows: Video Forecasting by Generating Pose Futures
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker
Kenneth Marino
Abhinav Gupta
M. Hebert
54
351
0
28 Apr 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
46
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
61
747
0
08 Feb 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
314
439
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
443
1,405
0
01 Dec 2016
RMPE: Regional Multi-person Pose Estimation
RMPE: Regional Multi-person Pose Estimation
Haoshu Fang
Shuqin Xie
Yu-Wing Tai
Cewu Lu
3DH
99
1,583
0
01 Dec 2016
Visual Stability Prediction and Its Application to Manipulation
Visual Stability Prediction and Its Application to Manipulation
Wenbin Li
A. Leonardis
Mario Fritz
41
36
0
15 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
135
1,464
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
56
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
28
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
62
1,008
0
31 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
43
1,042
0
23 May 2016
To Fall Or Not To Fall: A Visual Approach to Physical Stability
  Prediction
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
Wenbin Li
Seyedmajid Azimi
A. Leonardis
Mario Fritz
20
70
0
31 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
49
298
0
03 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Learning Visual Predictive Models of Physics for Playing Billiards
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki
Pulkit Agrawal
Sergey Levine
Jitendra Malik
51
259
0
23 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
97
1,881
0
17 Nov 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
251
7,361
0
05 Jun 2015
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