ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1610.07584
  4. Cited By
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
v1v2 (latest)

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

24 October 2016
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
    GAN
ArXiv (abs)PDFHTML

Papers citing "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling"

50 / 931 papers shown
Title
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning Shapes
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
139
863
0
24 Feb 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes
PolyGen: An Autoregressive Generative Model of 3D Meshes
C. Nash
Yaroslav Ganin
A. Eslami
Peter W. Battaglia
AI4CE
112
262
0
23 Feb 2020
Assembling Semantically-Disentangled Representations for
  Predictive-Generative Models via Adaptation from Synthetic Domain
Assembling Semantically-Disentangled Representations for Predictive-Generative Models via Adaptation from Synthetic Domain
B. Donderici
Caleb New
Chenliang Xu
GANAI4CE
30
1
0
23 Feb 2020
The Automated Inspection of Opaque Liquid Vaccines
The Automated Inspection of Opaque Liquid Vaccines
Gregory Palmer
Benjamin Schnieders
Rahul Savani
K. Tuyls
J. Fossel
H. Flore
MedIm
51
7
0
21 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DHAI4TS
99
101
0
19 Feb 2020
Hypernetwork approach to generating point clouds
Hypernetwork approach to generating point clouds
Przemysław Spurek
Sebastian Winczowski
Jacek Tabor
M. Zamorski
Maciej Ziȩba
Tomasz Trzciñski
3DPC
111
34
0
10 Feb 2020
Adversarial Generation of Continuous Implicit Shape Representations
Adversarial Generation of Continuous Implicit Shape Representations
Marian Kleineberg
Matthias Fey
F. Weichert
3DPCGAN
82
61
0
02 Feb 2020
Depth Based Semantic Scene Completion with Position Importance Aware
  Loss
Depth Based Semantic Scene Completion with Position Importance Aware Loss
Yu Liu
Jie Li
Xia Yuan
Chunxia Zhao
Roland Siegwart
Ian Reid
Cesar Cadena
3DPC
169
56
0
29 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
109
843
0
20 Jan 2020
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of
  Local Geometric Priors
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Lulu Tang
Ke Chen
Chaozheng Wu
Yu Hong
Kui Jia
Zhixin Yang
3DPC
60
24
0
14 Jan 2020
Front2Back: Single View 3D Shape Reconstruction via Front to Back
  Prediction
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction
Yuan Yao
Nico Schertler
Enrique Rosales
Helge Rhodin
Leonid Sigal
Alla Sheffer
88
45
0
23 Dec 2019
P$^2$GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object
  Pose Estimation
P2^22GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation
Peiyu Yu
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
58
5
0
19 Dec 2019
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH3DV
125
1,001
0
16 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point
  Clouds
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
Albert Pumarola
S. Popov
Francesc Moreno-Noguer
V. Ferrari
3DPCAI4CE
156
80
0
15 Dec 2019
Latent-Space Laplacian Pyramids for Adversarial Representation Learning
  with 3D Point Clouds
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Vage Egiazarian
Savva Ignatyev
Alexey Artemov
Oleg Voynov
A. Kravchenko
Youyi Zheng
Luiz Velho
Evgeny Burnaev
3DPC
47
8
0
13 Dec 2019
Local Deep Implicit Functions for 3D Shape
Local Deep Implicit Functions for 3D Shape
Kyle Genova
Forrester Cole
Avneesh Sud
Aaron Sarna
Thomas Funkhouser
3DV3DPC
85
49
0
12 Dec 2019
Feeding the zombies: Synthesizing brain volumes using a 3D progressive
  growing GAN
Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN
Anders Eklund
MedImAI4CE
50
13
0
11 Dec 2019
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture
Kohei Yamashita
S. Nobuhara
Ko Nishino
3DGS3DV
39
1
0
10 Dec 2019
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
77
37
0
04 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational
  Equivariance
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
64
8
0
30 Nov 2019
DIST: Rendering Deep Implicit Signed Distance Function with
  Differentiable Sphere Tracing
DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing
Shaohui Liu
Yinda Zhang
Songyou Peng
Boxin Shi
Marc Pollefeys
Zhaopeng Cui
144
286
0
29 Nov 2019
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from
  Images in the Wild
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Shangzhe Wu
Christian Rupprecht
Andrea Vedaldi
OCL
112
310
0
25 Nov 2019
StructEdit: Learning Structural Shape Variations
StructEdit: Learning Structural Shape Variations
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas Guibas
3DPC
69
45
0
25 Nov 2019
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Rundi Wu
Yixin Zhuang
Kai Xu
Hao Zhang
Baoquan Chen
3DPC3DV
120
169
0
25 Nov 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon
Y. Lipman
3DPCFedML
170
514
0
23 Nov 2019
Compressing Representations for Embedded Deep Learning
Compressing Representations for Embedded Deep Learning
Juliano S. Assine
Alan Godoy
Eduardo Valle
63
3
0
23 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant
  Representations via Auto-Encoding Node-wise Transformations
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
3DPC
88
44
0
19 Nov 2019
Learning Permutation Invariant Representations using Memory Networks
Learning Permutation Invariant Representations using Memory Networks
Shivam Kalra
Mohammed Adnan
Graham W. Taylor
Hamid Tizhoosh
68
24
0
18 Nov 2019
BSP-Net: Generating Compact Meshes via Binary Space Partitioning
BSP-Net: Generating Compact Meshes via Binary Space Partitioning
Zhiqin Chen
Andrea Tagliasacchi
Hao Zhang
161
312
0
16 Nov 2019
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion
Anh-Duc Nguyen
Seonghwan Choi
Woojae Kim
Sanghoon Lee
3DPC
63
32
0
15 Nov 2019
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research
Krishna Murthy Jatavallabhula
Edward James Smith
Jean-Francois Lafleche
Clement Fuji-Tsang
Artem Rozantsev
Wenzheng Chen
Tommy Xiang
Rev Lebaredian
Sanja Fidler
3DPCAI4CE
93
127
0
12 Nov 2019
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images
Inverse Graphics: Unsupervised Learning of 3D Shapes from Single Images
Talip Uçar
46
0
0
31 Oct 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation
On the Benefit of Adversarial Training for Monocular Depth Estimation
R. Groenendijk
Sezer Karaoglu
Theo Gevers
Thomas Mensink
GANMDE
144
29
0
29 Oct 2019
Geometry-Aware Neural Rendering
Geometry-Aware Neural Rendering
Joshua Tobin
OpenAI
Pieter Abbeel
3DV
58
23
0
28 Oct 2019
CorrGAN: Sampling Realistic Financial Correlation Matrices Using
  Generative Adversarial Networks
CorrGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks
Gautier Marti
GAN
86
45
0
21 Oct 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL3DPC
170
195
0
18 Oct 2019
Conditional Invertible Flow for Point Cloud Generation
Conditional Invertible Flow for Point Cloud Generation
Michal Stypulkowski
M. Zamorski
Maciej Ziȩba
J. Chorowski
3DPC
41
15
0
16 Oct 2019
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
Lin Gao
Ling-Xiao Zhang
Hsien-Yu Meng
Yi Ren
Yu-kun Lai
Leif Kobbelt
3DV
90
47
0
15 Oct 2019
Image Generation and Recognition (Emotions)
Image Generation and Recognition (Emotions)
Hanne Carlsson
D. Kollias
GAN
42
0
0
13 Oct 2019
Neural Multisensory Scene Inference
Neural Multisensory Scene Inference
Jae Hyun Lim
Pedro H. O. Pinheiro
Negar Rostamzadeh
C. Pal
Sungjin Ahn
48
10
0
06 Oct 2019
Unsupervised Generative 3D Shape Learning from Natural Images
Unsupervised Generative 3D Shape Learning from Natural Images
Attila Szabó
Givi Meishvili
Paolo Favaro
GAN3DH3DV
69
69
0
01 Oct 2019
SegMap: Segment-based mapping and localization using data-driven
  descriptors
SegMap: Segment-based mapping and localization using data-driven descriptors
Renaud Dubé
Andrei Cramariuc
Daniel Dugas
H. Sommer
Marcin Dymczyk
Juan I. Nieto
Roland Siegwart
Cesar Cadena
70
185
0
27 Sep 2019
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image
  Datasets via RGBD Image Synthesis
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
Atsuhiro Noguchi
Tatsuya Harada
GAN
81
30
0
27 Sep 2019
CvxNet: Learnable Convex Decomposition
CvxNet: Learnable Convex Decomposition
Boyang Deng
Kyle Genova
S. Yazdani
Sofien Bouaziz
Geoffrey E. Hinton
Andrea Tagliasacchi
77
255
0
12 Sep 2019
Learning Priors for Adversarial Autoencoders
Learning Priors for Adversarial Autoencoders
Hui-Po Wang
Wen-Hsiao Peng
Wei-Jan Ko
GAN
41
17
0
10 Sep 2019
An Acceleration Framework for High Resolution Image Synthesis
An Acceleration Framework for High Resolution Image Synthesis
Jinlin Liu
Yuan Yao
Jianqiang Ren
62
10
0
09 Sep 2019
Exploring Temporal Differences in 3D Convolutional Neural Networks
Exploring Temporal Differences in 3D Convolutional Neural Networks
Gagan Kanojia
Sudhakar Kumawat
Shanmuganathan Raman
3DPCAI4TS
34
3
0
07 Sep 2019
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
Bram Wallace
B. Hariharan
3DV
67
41
0
03 Sep 2019
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth
  Image
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
Yida Wang
D. Tan
Nassir Navab
Federico Tombari
3DV3DPC
53
57
0
03 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann
Louis Maestrati
Yoshihide Sawada
Jian Tang
Jean Michel D. Sellier
Yoshua Bengio
DiffM3DV
96
67
0
03 Sep 2019
Previous
123...121314...171819
Next