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Unsupervised Learning of Disentangled Representations from Video

Unsupervised Learning of Disentangled Representations from Video

31 May 2017
Emily L. Denton
Vighnesh Birodkar
    DRL
    CoGe
    OOD
ArXivPDFHTML

Papers citing "Unsupervised Learning of Disentangled Representations from Video"

26 / 76 papers shown
Title
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
19
235
0
24 Jul 2019
Unsupervised Learning of Object Structure and Dynamics from Videos
Unsupervised Learning of Object Structure and Dynamics from Videos
Matthias Minderer
Chen Sun
Ruben Villegas
Forrester Cole
Kevin Patrick Murphy
Honglak Lee
13
149
0
19 Jun 2019
Improved Conditional VRNNs for Video Prediction
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
DRL
13
161
0
27 Apr 2019
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
19
110
0
25 Apr 2019
Point-to-Point Video Generation
Point-to-Point Video Generation
Tsun-Hsuan Wang
Y. Cheng
Chieh Hubert Lin
Hwann-Tzong Chen
Min Sun
VGen
DiffM
11
21
0
05 Apr 2019
Inserting Videos into Videos
Inserting Videos into Videos
Donghoon Lee
Tomas Pfister
Ming-Hsuan Yang
GAN
18
20
0
15 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video
  Generation
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation
Manoj Kumar
Mohammad Babaeizadeh
D. Erhan
Chelsea Finn
Sergey Levine
Laurent Dinh
Durk Kingma
VGen
22
131
0
04 Mar 2019
Using Causal Analysis to Learn Specifications from Task Demonstrations
Using Causal Analysis to Learn Specifications from Task Demonstrations
Daniel Angelov
Yordan V. Hristov
S. Ramamoorthy
CML
6
19
0
04 Mar 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization
StoryGAN: A Sequential Conditional GAN for Story Visualization
Yitong Li
Zhe Gan
Yelong Shen
Jingjing Liu
Yu Cheng
Yuexin Wu
Lawrence Carin
David Carlson
Jianfeng Gao
22
226
0
06 Dec 2018
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained
  Object Generation and Discovery
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
OCL
11
131
0
27 Nov 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
13
228
0
04 Oct 2018
Recurrent Flow-Guided Semantic Forecasting
Recurrent Flow-Guided Semantic Forecasting
Adam M. Terwilliger
Garrick Brazil
Xiaoming Liu
13
46
0
21 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent
  Representations
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari
Harold Soh
CoGe
CML
UD
DRL
11
31
0
12 Sep 2018
Self-supervised learning of a facial attribute embedding from video
Self-supervised learning of a facial attribute embedding from video
Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
CVBM
SSL
16
132
0
21 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
22
149
0
14 Aug 2018
Pose Guided Human Video Generation
Pose Guided Human Video Generation
Ceyuan Yang
Zhe Wang
Xinge Zhu
Chen Huang
Jianping Shi
Dahua Lin
GAN
16
145
0
30 Jul 2018
X2Face: A network for controlling face generation by using images,
  audio, and pose codes
X2Face: A network for controlling face generation by using images, audio, and pose codes
Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
CVBM
19
410
0
27 Jul 2018
Unsupervised Learning of Object Landmarks through Conditional Image
  Generation
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Tomas Jakab
Ankush Gupta
Hakan Bilen
Andrea Vedaldi
SSL
19
252
0
20 Jun 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
127
305
0
11 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
8
256
0
05 Jun 2018
Disentangling Controllable and Uncontrollable Factors of Variation by
  Interacting with the World
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
11
10
0
19 Apr 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
23
450
0
04 Apr 2018
Stochastic Video Generation with a Learned Prior
Stochastic Video Generation with a Learned Prior
Emily L. Denton
Rob Fergus
VGen
34
525
0
21 Feb 2018
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yu Liu
Xiaodong Yang
Jan Kautz
GAN
43
1,131
0
17 Jul 2017
Skeleton-aided Articulated Motion Generation
Skeleton-aided Articulated Motion Generation
Yichao Yan
Jingwei Xu
Bingbing Ni
Xiaokang Yang
3DH
24
87
0
04 Jul 2017
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
227
2,543
0
25 Jan 2016
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