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Inner Space Preserving Generative Pose Machine

Inner Space Preserving Generative Pose Machine

6 August 2018
Shuangjun Liu
Sarah Ostadabbas
    GAN
ArXivPDFHTML

Papers citing "Inner Space Preserving Generative Pose Machine"

37 / 37 papers shown
Title
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed
  Human Pose Monitoring under Adverse Vision Conditions
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
Shuangjun Liu
Xiaofei Huang
Nihang Fu
Cheng Li
Zhongnan Su
Sarah Ostadabbas
3DH
25
20
0
20 Aug 2020
A Generative Model of People in Clothing
A Generative Model of People in Clothing
Christoph Lassner
Gerard Pons-Moll
Peter V. Gehler
3DH
51
228
0
11 May 2017
Towards Large-Pose Face Frontalization in the Wild
Towards Large-Pose Face Frontalization in the Wild
Xi Yin
Xiang Yu
Kihyuk Sohn
Xiaoming Liu
Manmohan Chandraker
CVBM
3DH
62
317
0
20 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
GAN
VLM
83
1,941
0
08 Apr 2017
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
Jianmin Bao
Dong Chen
Fang Wen
Houqiang Li
Gang Hua
GAN
38
211
0
29 Mar 2017
Learning from Synthetic Humans
Learning from Synthetic Humans
Gül Varol
Javier Romero
Xavier Martin
Naureen Mahmood
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
75
968
0
05 Jan 2017
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
45
186
0
01 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
252
19,560
0
21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
355
3,201
0
30 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
41
618
0
08 Oct 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
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
131
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
211
37,704
0
20 May 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
99
3,136
0
17 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
23
5,277
0
25 Apr 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
93
3,524
0
28 Mar 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
29
315
0
24 Mar 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
77
5,008
0
22 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
47
1,012
0
22 Mar 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRL
GAN
50
1,137
0
08 Feb 2016
Convolutional Pose Machines
Convolutional Pose Machines
S. Wei
V. Ramakrishna
T. Kanade
Yaser Sheikh
3DV
SSL
65
2,739
0
30 Jan 2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D
  View Synthesis
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang
Scott E. Reed
Ming-Hsuan Yang
Honglak Lee
VOT
20
314
0
05 Jan 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
115
2,061
0
31 Dec 2015
Attribute2Image: Conditional Image Generation from Visual Attributes
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan
Jimei Yang
Kihyuk Sohn
Honglak Lee
DRL
GAN
38
769
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
209
13,968
0
19 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
603
15,718
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
751
76,547
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
128
4,166
0
17 May 2015
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRL
BDL
71
929
0
11 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
316
149,474
0
22 Dec 2014
Convolutional Feature Masking for Joint Object and Stuff Segmentation
Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai
Kaiming He
Jian Sun
SSeg
51
443
0
03 Dec 2014
Feedforward semantic segmentation with zoom-out features
Feedforward semantic segmentation with zoom-out features
Mohammadreza Mostajabi
Payman Yadollahpour
Gregory Shakhnarovich
MDE
SSeg
105
474
0
02 Dec 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
78
676
0
21 Nov 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
182
10,365
0
06 Nov 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjD
ISeg
77
1,291
0
07 Jul 2014
Inverse Graphics with Probabilistic CAD Models
Inverse Graphics with Probabilistic CAD Models
Tejas D. Kulkarni
Vikash K. Mansinghka
Pushmeet Kohli
J. Tenenbaum
3DV
42
19
0
04 Jul 2014
The Informed Sampler: A Discriminative Approach to Bayesian Inference in
  Generative Computer Vision Models
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models
Varun Jampani
Sebastian Nowozin
M. Loper
Peter V. Gehler
66
45
0
04 Feb 2014
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