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Inverse Graphics with Probabilistic CAD Models

Inverse Graphics with Probabilistic CAD Models

4 July 2014
Tejas D. Kulkarni
Vikash K. Mansinghka
Pushmeet Kohli
J. Tenenbaum
    3DV
ArXiv (abs)PDFHTML

Papers citing "Inverse Graphics with Probabilistic CAD Models"

12 / 12 papers shown
Title
Differentiable SAR Renderer and SAR Target Reconstruction
Differentiable SAR Renderer and SAR Target Reconstruction
Shilei Fu
F. Xu
47
15
0
14 May 2022
Neural Articulated Radiance Field
Neural Articulated Radiance Field
Atsuhiro Noguchi
Xiao Sun
Stephen Lin
Tatsuya Harada
3DHAI4CE
103
224
0
07 Apr 2021
Learning Programmatically Structured Representations with Perceptor
  Gradients
Learning Programmatically Structured Representations with Perceptor Gradients
Svetlin Penkov
S. Ramamoorthy
58
10
0
02 May 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
61
246
0
27 Mar 2019
Inner Space Preserving Generative Pose Machine
Inner Space Preserving Generative Pose Machine
Shuangjun Liu
Sarah Ostadabbas
GAN
60
6
0
06 Aug 2018
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCLAI4CE
81
249
0
21 Jun 2018
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
BDLVLM
79
178
0
13 Oct 2017
Are we done with object recognition? The iCub robot's perspective
Are we done with object recognition? The iCub robot's perspective
Giulia Pasquale
C. Ciliberto
Francesca Odone
Lorenzo Rosasco
Lorenzo Natale
94
42
0
28 Sep 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
AI4CEOCL
392
441
0
01 Dec 2016
Unsupervised Learning of 3D Structure from Images
Unsupervised Learning of 3D Structure from Images
Danilo Jimenez Rezende
S. M. Ali Eslami
S. Mohamed
Peter W. Battaglia
Max Jaderberg
N. Heess
3DVSSLDRL
92
396
0
03 Jul 2016
Disentangled Representations in Neural Models
Disentangled Representations in Neural Models
William F. Whitney
OODOCLDRL
135
18
0
07 Feb 2016
Deep Convolutional Inverse Graphics Network
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRLBDL
117
932
0
11 Mar 2015
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