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Deep multi-scale video prediction beyond mean square error
v1v2v3v4v5v6 (latest)

Deep multi-scale video prediction beyond mean square error

17 November 2015
Michaël Mathieu
Camille Couprie
Yann LeCun
    GAN
ArXiv (abs)PDFHTML

Papers citing "Deep multi-scale video prediction beyond mean square error"

50 / 842 papers shown
Title
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
105
599
0
25 Jun 2017
Perceptual Generative Adversarial Networks for Small Object Detection
Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li
Xiaodan Liang
Yunchao Wei
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
116
733
0
16 Jun 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan
J. Zico Kolter
GAN
127
348
0
13 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
EGVMVGen
101
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
58
17
0
13 Jun 2017
A filter based approach for inbetweening
A filter based approach for inbetweening
Y. Yagi
21
5
0
12 Jun 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
101
801
0
12 Jun 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRLCoGeOOD
113
554
0
31 May 2017
Surface Networks
Surface Networks
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
92
101
0
30 May 2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using
  Generative Adversarial Nets
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman
Yevgen Chebotar
S. Schaal
Gaurav Sukhatme
Joseph J. Lim
GAN
106
150
0
30 May 2017
Pose Guided Person Image Generation
Pose Guided Person Image Generation
Liqian Ma
Xu Jia
Qianru Sun
Bernt Schiele
Tinne Tuytelaars
Luc Van Gool
GAN
131
820
0
25 May 2017
Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep
  Neural Networks
Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks
O. Hennigh
AI4CE
61
67
0
25 May 2017
Unsupervised Learning Layers for Video Analysis
Unsupervised Learning Layers for Video Analysis
Liang Zhao
Yang Wang
Yi Yang
Wenyuan Xu
SSLOffRL
36
0
0
24 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image
  Generation
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
Lei Cai
Hongyang Gao
Shuiwang Ji
96
69
0
19 May 2017
Model-Based Planning with Discrete and Continuous Actions
Model-Based Planning with Discrete and Continuous Actions
Mikael Henaff
William F. Whitney
Yann LeCun
88
16
0
19 May 2017
Real-Time Adaptive Image Compression
Real-Time Adaptive Image Compression
Oren Rippel
Lubomir D. Bourdev
93
563
0
16 May 2017
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Yilin Song
J. Viventi
Yao Wang
32
1
0
08 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
103
25
0
05 May 2017
Am I Done? Predicting Action Progress in Videos
Am I Done? Predicting Action Progress in Videos
Federico Becattini
Tiberio Uricchio
Lorenzo Seidenari
Lamberto Ballan
A. Bimbo
124
34
0
04 May 2017
Adversarial PoseNet: A Structure-aware Convolutional Network for Human
  Pose Estimation
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
Yushen Chen
Chunhua Shen
Xiu-Shen Wei
Lingqiao Liu
Jian Yang
GAN
109
324
0
30 Apr 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
138
351
0
28 Apr 2017
Time-Contrastive Networks: Self-Supervised Learning from Video
Time-Contrastive Networks: Self-Supervised Learning from Video
P. Sermanet
Corey Lynch
Yevgen Chebotar
Jasmine Hsu
Eric Jang
S. Schaal
Sergey Levine
SSL
149
830
0
23 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
127
380
0
19 Apr 2017
Predictive-Corrective Networks for Action Detection
Predictive-Corrective Networks for Action Detection
Achal Dave
Olga Russakovsky
Deva Ramanan
AI4TS
172
55
0
12 Apr 2017
Forecasting Human Dynamics from Static Images
Forecasting Human Dynamics from Static Images
Yu-Wei Chao
Jimei Yang
Brian L. Price
Scott D. Cohen
Jia Deng
3DH
80
108
0
11 Apr 2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
Xinyu Wang
Abhinav Shrivastava
Abhinav Gupta
ObjD
104
572
0
11 Apr 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi
Hao Zhang
P. Tan
Minglun Gong
GANVLM
255
1,947
0
08 Apr 2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Alex X. Lee
Sergey Levine
Pieter Abbeel
SSL
49
73
0
31 Mar 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy
  Risks in Images
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
Rakshith Shetty
Bernt Schiele
Mario Fritz
149
229
0
30 Mar 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
239
5,556
0
30 Mar 2017
Speaking the Same Language: Matching Machine to Human Captions by
  Adversarial Training
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training
Rakshith Shetty
Marcus Rohrbach
Lisa Anne Hendricks
Mario Fritz
Bernt Schiele
89
144
0
30 Mar 2017
SeGAN: Segmenting and Generating the Invisible
SeGAN: Segmenting and Generating the Invisible
Kiana Ehsani
Roozbeh Mottaghi
Ali Farhadi
GAN
127
147
0
29 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
113
243
0
22 Mar 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
83
505
0
22 Mar 2017
Autoregressive Convolutional Neural Networks for Asynchronous Time
  Series
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski
Gautier Marti
Philippe Donnat
AI4TSBDL
136
152
0
12 Mar 2017
Transformation-Grounded Image Generation Network for Novel 3D View
  Synthesis
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Eunbyung Park
Jimei Yang
Ersin Yumer
Duygu Ceylan
Alexander C. Berg
92
286
0
08 Mar 2017
What Would You Do? Acting by Learning to Predict
What Would You Do? Acting by Learning to Predict
Adam W. Tow
Niko Sünderhauf
S. Shirazi
Michael Milford
Jurgen Leitner
LM&Ro
50
6
0
08 Mar 2017
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu
John D. Co-Reyes
Sergey Levine
OffRL
75
156
0
03 Mar 2017
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Tong Che
Yanran Li
Ruixiang Zhang
R. Devon Hjelm
Wenjie Li
Yangqiu Song
Yoshua Bengio
GAN
79
235
0
26 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
158
750
0
08 Feb 2017
Guided Optical Flow Learning
Guided Optical Flow Learning
Yi Zhu
Zhenzhong Lan
Shawn D. Newsam
Alexander G. Hauptmann
SSL
86
48
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
92
76
0
29 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DHCVBM
103
140
0
17 Jan 2017
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual
  Networks
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
Junbo Zhang
Yu Zheng
Dekang Qi
Ruiyuan Li
Xiuwen Yi
Tianrui Li
GNN3DPCHAIAI4TS
78
440
0
10 Jan 2017
Medical Image Synthesis with Context-Aware Generative Adversarial
  Networks
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Dong Nie
Roger Trullo
Caroline Petitjean
S. Ruan
Dinggang Shen
GANMedIm
94
688
0
16 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
126
459
0
13 Dec 2016
Tracking the World State with Recurrent Entity Networks
Tracking the World State with Recurrent Entity Networks
Mikael Henaff
Jason Weston
Arthur Szlam
Antoine Bordes
Yann LeCun
KELM
122
229
0
12 Dec 2016
Generalizable Features From Unsupervised Learning
Generalizable Features From Unsupervised Learning
M. Berk Mirza
Aaron Courville
Yoshua Bengio
SSLOOD
65
17
0
12 Dec 2016
Hybrid Learning of Optical Flow and Next Frame Prediction to Boost
  Optical Flow in the Wild
Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild
Nima Sedaghat
Mohammadreza Zolfaghari
Thomas Brox
77
16
0
12 Dec 2016
Model-based Adversarial Imitation Learning
Model-based Adversarial Imitation Learning
Nir Baram
Oron Anschel
Shie Mannor
GAN
76
42
0
07 Dec 2016
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