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Deep Convolutional Inverse Graphics Network

Deep Convolutional Inverse Graphics Network

11 March 2015
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
    DRL
    BDL
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Papers citing "Deep Convolutional Inverse Graphics Network"

50 / 233 papers shown
Title
DNA-GAN: Learning Disentangled Representations from Multi-Attribute
  Images
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Taihong Xiao
Jiapeng Hong
Jinwen Ma
DRL
31
90
0
15 Nov 2017
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Recent Advances in Zero-shot Recognition
Recent Advances in Zero-shot Recognition
Yanwei Fu
Tao Xiang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
S. Gong
BDL
VLM
16
175
0
13 Oct 2017
3D Object Reconstruction from a Single Depth View with Adversarial
  Learning
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang
Hongkai Wen
Sen Wang
R. Clark
Andrew Markham
A. Trigoni
GAN
33
198
0
26 Aug 2017
Unsupervised Visual Attribute Transfer with Reconfigurable Generative
  Adversarial Networks
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks
Taeksoo Kim
Byoungjip Kim
Moonsu Cha
Jiwon Kim
GAN
26
41
0
31 Jul 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
43
410
0
26 Jul 2017
Rethinking Reprojection: Closing the Loop for Pose-aware
  ShapeReconstruction from a Single Image
Rethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image
Rui Zhu
Hamed Kiani Galoogahi
Chaoyang Wang
Simon Lucey
3DV
23
90
0
15 Jul 2017
Guiding InfoGAN with Semi-Supervision
Guiding InfoGAN with Semi-Supervision
Adrian Spurr
Emre Aksan
Otmar Hilliges
GAN
34
46
0
14 Jul 2017
Learning Efficient Point Cloud Generation for Dense 3D Object
  Reconstruction
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Chen-Hsuan Lin
Chen Kong
Simon Lucey
3DV
38
421
0
21 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
DRL
GAN
41
127
0
02 Jun 2017
Fader Networks: Manipulating Images by Sliding Attributes
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample
Neil Zeghidour
Nicolas Usunier
Antoine Bordes
Ludovic Denoyer
MarcÁurelio Ranzato
DRL
GAN
49
543
0
01 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep
  Generative Models
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth Narayanaswamy
Brooks Paige
Jan-Willem van de Meent
Alban Desmaison
Noah D. Goodman
Pushmeet Kohli
Frank Wood
Philip Torr
DRL
CoGe
27
359
0
01 Jun 2017
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and
  Image-to-Image Translation from Unpaired Supervision
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
H. Tung
Adam W. Harley
William Seto
Katerina Fragkiadaki
GAN
27
156
0
31 May 2017
Representation Learning by Rotating Your Faces
Representation Learning by Rotating Your Faces
Luan Tran
Xi Yin
Xiaoming Liu
CVBM
GAN
23
140
0
31 May 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRL
CoGe
OOD
24
551
0
31 May 2017
Semantically Decomposing the Latent Spaces of Generative Adversarial
  Networks
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Chris Donahue
Zachary Chase Lipton
Akshay Balsubramani
Julian McAuley
GAN
35
120
0
22 May 2017
A Generative Model of People in Clothing
A Generative Model of People in Clothing
Christoph Lassner
Gerard Pons-Moll
Peter V. Gehler
3DH
38
228
0
11 May 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
76
2,557
0
25 Apr 2017
Neural Face Editing with Intrinsic Image Disentangling
Neural Face Editing with Intrinsic Image Disentangling
Zhixin Shu
Ersin Yumer
Sunil Hadap
Kalyan Sunkavalli
Eli Shechtman
Dimitris Samaras
CVBM
DRL
GAN
49
285
0
13 Apr 2017
Semi-Latent GAN: Learning to generate and modify facial images from
  attributes
Semi-Latent GAN: Learning to generate and modify facial images from attributes
Weidong Yin
Yanwei Fu
Leonid Sigal
Xiangyang Xue
GAN
CVBM
28
43
0
07 Apr 2017
InverseFaceNet: Deep Monocular Inverse Face Rendering
InverseFaceNet: Deep Monocular Inverse Face Rendering
Hyeongwoo Kim
Michael Zollhöfer
A. Tewari
Justus Thies
Christian Richardt
Christian Theobalt
CVBM
3DH
21
56
0
31 Mar 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
39
497
0
22 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GAN
OOD
57
1,973
0
15 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
17
286
0
08 Mar 2017
Toward Controlled Generation of Text
Toward Controlled Generation of Text
Zhiting Hu
Zichao Yang
Xiaodan Liang
Ruslan Salakhutdinov
Eric Xing
61
984
0
02 Mar 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
48
223
0
24 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 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
3DH
CVBM
37
141
0
17 Jan 2017
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic
  Images
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images
Aron Yu
Kristen Grauman
34
149
0
19 Dec 2016
3D Shape Induction from 2D Views of Multiple Objects
3D Shape Induction from 2D Views of Multiple Objects
Matheus Gadelha
Subhransu Maji
Rui Wang
GAN
21
293
0
18 Dec 2016
A Survey of Inductive Biases for Factorial Representation-Learning
A Survey of Inductive Biases for Factorial Representation-Learning
Karl Ridgeway
DRL
CML
29
76
0
15 Dec 2016
Disentangling Space and Time in Video with Hierarchical Variational
  Auto-encoders
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders
Will Grathwohl
Aaron Wilson
DRL
24
21
0
14 Dec 2016
Fast Patch-based Style Transfer of Arbitrary Style
Fast Patch-based Style Transfer of Arbitrary Style
T. Chen
Mark W. Schmidt
38
378
0
13 Dec 2016
Learning Diverse Image Colorization
Learning Diverse Image Colorization
Aditya Deshpande
Jiajun Lu
Mao-Chuang Yeh
Min Jin Chong
David A. Forsyth
GAN
19
192
0
06 Dec 2016
Learning Shape Abstractions by Assembling Volumetric Primitives
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani
Hao Su
Leonidas J. Guibas
Alexei A. Efros
Jitendra Malik
24
358
0
01 Dec 2016
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
241
439
0
01 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and
  Semantic Layouts
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
GAN
36
186
0
01 Dec 2016
A Deep Learning Approach for Joint Video Frame and Reward Prediction in
  Atari Games
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
Felix Leibfried
Nate Kushman
Katja Hofmann
46
43
0
21 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL
3DV
BDL
30
13
0
16 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDL
DRL
24
723
0
16 Nov 2016
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jun Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRL
CML
53
489
0
10 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
59
1,001
0
07 Nov 2016
Joint Multimodal Learning with Deep Generative Models
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRL
GAN
35
222
0
07 Nov 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
35
149
0
18 Oct 2016
Digital Makeup from Internet Images
Digital Makeup from Internet Images
Asad Khan
Muhammad Ahmad
Yudong Guo
Ligang Liu
DiffM
25
2
0
16 Oct 2016
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRL
GAN
30
618
0
08 Oct 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu
Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
BDL
CoGe
36
746
0
28 Sep 2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Yaroslav Ganin
Daniil Kononenko
Diana Sungatullina
Victor Lempitsky
CVBM
27
122
0
25 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
15
512
0
25 Jun 2016
Tutorial on Variational Autoencoders
Tutorial on Variational Autoencoders
Carl Doersch
BDL
DRL
38
1,722
0
19 Jun 2016
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