ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1604.03755
  4. Cited By
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
v1v2v3 (latest)

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

13 April 2016
Abhishek Sharma
O. Grau
Mario Fritz
    3DPC
ArXiv (abs)PDFHTML

Papers citing "VConv-DAE: Deep Volumetric Shape Learning Without Object Labels"

30 / 130 papers shown
Video Inpainting by Jointly Learning Temporal Structure and Spatial
  Details
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
Chuan Wang
Haibin Huang
Xiaoguang Han
Jue Wang
205
173
0
22 Jun 2018
Learning 3D Shape Completion under Weak Supervision
Learning 3D Shape Completion under Weak Supervision
David Stutz
Andreas Geiger
3DPCSSL
221
112
0
18 May 2018
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Jianwen Xie
Zilong Zheng
Ruiqi Gao
Wenguan Wang
Song-Chun Zhu
Ying Nian Wu
GAN3DV
244
152
0
02 Apr 2018
Learning Free-Form Deformations for 3D Object Reconstruction
Learning Free-Form Deformations for 3D Object Reconstruction
Dominic Jack
J. K. Pontes
Sridha Sridharan
Clinton Fookes
S. Shirazi
Frederic Maire
Anders P. Eriksson
3DPC
153
78
0
29 Mar 2018
Text2Shape: Generating Shapes from Natural Language by Learning Joint
  Embeddings
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen
Chris Choy
Manolis Savva
Angel X. Chang
Thomas Funkhouser
Silvio Savarese
3DV
198
270
0
22 Mar 2018
Multi-View Silhouette and Depth Decomposition for High Resolution 3D
  Object Representation
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object RepresentationNeural Information Processing Systems (NeurIPS), 2018
Edward James Smith
Scott Fujimoto
David Meger
SupR
165
56
0
27 Feb 2018
Dense 3D Object Reconstruction from a Single Depth View
Dense 3D Object Reconstruction from a Single Depth View
Bo Yang
Stefano Rosa
Andrew Markham
Niki Trigoni
Hongkai Wen
GAN3DV
303
129
0
01 Feb 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
3DPC
194
80
0
19 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
420
235
0
01 Dec 2017
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
J. K. Pontes
Chen Kong
Sridha Sridharan
Simon Lucey
Anders P. Eriksson
Clinton Fookes
3DV
158
135
0
29 Nov 2017
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with
  Adversarial Networks
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks
Mengwei Ren
Liang Niu
Yi Fang
GAN3DPC
88
32
0
28 Nov 2017
Unsupervised 3D Reconstruction from a Single Image via Adversarial
  Learning
Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning
Lingjing Wang
Yi Fang
GAN
136
13
0
26 Nov 2017
Shape Inpainting using 3D Generative Adversarial Network and Recurrent
  Convolutional Networks
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
Weiyue Wang
Qiangui Huang
Suya You
Chao Yang
Ulrich Neumann
GAN3DPC
159
183
0
17 Nov 2017
High-Resolution Shape Completion Using Deep Neural Networks for Global
  Structure and Local Geometry Inference
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference
Xiaoguang Han
Zerui Li
Haibin Huang
E. Kalogerakis
Yizhou Yu
3DV3DPC
204
307
0
22 Sep 2017
Variational Autoencoders for Deforming 3D Mesh Models
Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan
Lin Gao
Yu-kun Lai
Shi-hong Xia
AI4CE
206
214
0
13 Sep 2017
Mesh-based Autoencoders for Localized Deformation Component Analysis
Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan
Lin Gao
Yu-kun Lai
Jie Yang
Shi-hong Xia
242
66
0
13 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
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
Minhyuk Sung
Hao Su
Vladimir G. Kim
S. Chaudhuri
Leonidas Guibas
3DV
188
65
0
06 Aug 2017
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Edward James Smith
David Meger
GAN
240
178
0
29 Jul 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
133
18
0
23 Jul 2017
Interactive 3D Modeling with a Generative Adversarial Network
Interactive 3D Modeling with a Generative Adversarial Network
Jerry Liu
Feng Yu
Thomas Funkhouser
GAN
122
93
0
16 Jun 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac
  Image Enhancement and Segmentation
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Ozan Oktay
Enzo Ferrante
Konstantinos Kamnitsas
M. Heinrich
Wenjia Bai
...
T. Dawes
D. O’Regan
Bernhard Kainz
Ben Glocker
Daniel Rueckert
197
698
0
22 May 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
155
6
0
17 May 2017
OctNetFusion: Learning Depth Fusion from Data
OctNetFusion: Learning Depth Fusion from Data
Gernot Riegler
Ali O. Ulusoy
Horst Bischof
Andreas Geiger
3DPC3DV
260
213
0
04 Apr 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
290
768
0
28 Mar 2017
SurfNet: Generating 3D shape surfaces using deep residual networks
SurfNet: Generating 3D shape surfaces using deep residual networks
Ayan Sinha
Asim Unmesh
Qi-Xing Huang
K. Ramani
178
188
0
12 Mar 2017
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Angela Dai
C. Qi
Matthias Nießner
3DV3DPC
425
656
0
01 Dec 2016
OctNet: Learning Deep 3D Representations at High Resolutions
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler
Ali O. Ulusoy
Andreas Geiger
3DV3DPC
507
1,562
0
15 Nov 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
716
2,075
0
24 Oct 2016
Novel Views of Objects from a Single Image
Novel Views of Objects from a Single Image
Konstantinos Rematas
Chuong H. Nguyen
Tobias Ritschel
Mario Fritz
Tinne Tuytelaars
417
74
0
31 Jan 2016
Previous
123