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Perspective Transformer Nets: Learning Single-View 3D Object
  Reconstruction without 3D Supervision
v1v2v3 (latest)

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

1 December 2016
Xinchen Yan
Jimei Yang
Ersin Yumer
Yijie Guo
Honglak Lee
    3DV
ArXiv (abs)PDFHTML

Papers citing "Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision"

27 / 327 papers shown
Title
ShapeCodes: Self-Supervised Feature Learning by Lifting Views to
  Viewgrids
ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids
Dinesh Jayaraman
Ruohan Gao
Kristen Grauman
SSL
253
5
0
01 Sep 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
176
206
0
26 Aug 2017
Deep Structure for end-to-end inverse rendering
Deep Structure for end-to-end inverse rendering
S. Kamyab
A. Ghodsi
Z. Azimifar
3DV3DH
104
2
0
25 Aug 2017
Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D
  Representations
Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations
Xinchen Yan
Jasmine Hsu
Mohi Khansari
Yunfei Bai
Arkanath Pathak
Abhinav Gupta
James Davidson
Honglak Lee
230
8
0
24 Aug 2017
3D Morphable Models as Spatial Transformer Networks
3D Morphable Models as Spatial Transformer Networks
Anil Bas
P. Huber
W. Smith
Muhammad Awais
J. Kittler
3DHViT
148
72
0
23 Aug 2017
What does 2D geometric information really tell us about 3D face shape?
What does 2D geometric information really tell us about 3D face shape?
Anil Bas
W. Smith
3DHCVBM3DV
191
24
0
22 Aug 2017
Learning a Multi-View Stereo Machine
Learning a Multi-View Stereo Machine
Abhishek Kar
Christian Häne
Jitendra Malik
3DV
158
569
0
17 Aug 2017
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction
  from a Single Image
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single ImageIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2017
Andrey Kurenkov
Jingwei Ji
Animesh Garg
Viraj Mehta
JunYoung Gwak
Chris Choy
Silvio Savarese
3DV
143
124
0
11 Aug 2017
Learning to Synthesize a 4D RGBD Light Field from a Single Image
Learning to Synthesize a 4D RGBD Light Field from a Single ImageIEEE International Conference on Computer Vision (ICCV), 2017
Pratul P. Srinivasan
Tongzhou Wang
Ashwin Sreelal
R. Ramamoorthi
Ren Ng
3DV
154
249
0
10 Aug 2017
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
Chuhang Zou
Ersin Yumer
Jimei Yang
Duygu Ceylan
Derek Hoiem
3DV
198
218
0
04 Aug 2017
Compact Model Representation for 3D Reconstruction
Compact Model Representation for 3D Reconstruction
J. K. Pontes
Chen Kong
Anders P. Eriksson
Clinton Fookes
Sridha Sridharan
Simon Lucey
3DV
125
18
0
23 Jul 2017
3D Shape Reconstruction from Sketches via Multi-view Convolutional
  Networks
3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks
Z. Lun
Matheus Gadelha
E. Kalogerakis
Subhransu Maji
Rui Wang
3DV3DPC
225
196
0
20 Jul 2017
Shape Generation using Spatially Partitioned Point Clouds
Shape Generation using Spatially Partitioned Point Clouds
Matheus Gadelha
Subhransu Maji
Rui Wang
3DPC
110
12
0
19 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
198
91
0
15 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
230
447
0
21 Jun 2017
Learning a Hierarchical Latent-Variable Model of 3D Shapes
Learning a Hierarchical Latent-Variable Model of 3D Shapes
Shikun Liu
C. Lee Giles
Alexander Ororbia
3DV
131
6
0
17 May 2017
GRASS: Generative Recursive Autoencoders for Shape Structures
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li
Kai Xu
S. Chaudhuri
Ersin Yumer
Hao Zhang
Leonidas Guibas
3DV
204
181
0
05 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
500
2,761
0
25 Apr 2017
Multi-view Supervision for Single-view Reconstruction via Differentiable
  Ray Consistency
Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency
Shubham Tulsiani
Tinghui Zhou
Alyosha A. Efros
Jitendra Malik
3DV
328
579
0
20 Apr 2017
Multi-View Image Generation from a Single-View
Multi-View Image Generation from a Single-View
Bo Zhao
Xiao-Jun Wu
Zhi-Qi Cheng
Hao Liu
Zequn Jie
Jiashi Feng
3DHGAN
346
190
0
17 Apr 2017
Hierarchical Surface Prediction for 3D Object Reconstruction
Hierarchical Surface Prediction for 3D Object Reconstruction
Christian Häne
Shubham Tulsiani
Jitendra Malik
3DV
236
340
0
03 Apr 2017
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised
  Monocular Reconstruction
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
A. Tewari
Michael Zollhöfer
Hyeongwoo Kim
Pablo Garrido
Florian Bernard
P. Pérez
Christian Theobalt
3DHCVBM
378
573
0
30 Mar 2017
Octree Generating Networks: Efficient Convolutional Architectures for
  High-resolution 3D Outputs
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
3DV
218
767
0
28 Mar 2017
3D Reconstruction of Simple Objects from A Single View Silhouette Image
3D Reconstruction of Simple Objects from A Single View Silhouette Image
Xinhan Di
Pengqian Yu
3DV3DH
105
7
0
17 Jan 2017
3D Shape Induction from 2D Views of Multiple Objects
3D Shape Induction from 2D Views of Multiple ObjectsInternational Conference on 3D Vision (3DV), 2016
Matheus Gadelha
Subhransu Maji
Rui Wang
GAN
187
305
0
18 Dec 2016
3D Shape Segmentation with Projective Convolutional Networks
3D Shape Segmentation with Projective Convolutional Networks
E. Kalogerakis
Melinos Averkiou
Subhransu Maji
S. Chaudhuri
3DV3DPC
183
376
0
08 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
662
2,071
0
24 Oct 2016
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