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Point Cloud GAN

Point Cloud GAN

13 October 2018
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
    3DPC
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Papers citing "Point Cloud GAN"

50 / 131 papers shown
Title
Improving Model Compatibility of Generative Adversarial Networks by
  Boundary Calibration
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration
Si-An Chen
Chun-Liang Li
Hsuan-Tien Lin
GAN
12
0
0
03 Nov 2021
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
Prajwal Singh
Kaustubh Sadekar
Shanmuganathan Raman
3DPC
37
2
0
07 Oct 2021
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
Aditya Sanghi
Hang Chu
Joseph G. Lambourne
Ye Wang
Chin-Yi Cheng
Marco Fumero
Kamal Rahimi Malekshan
CLIP
45
289
0
06 Oct 2021
Learnable Triangulation for Deep Learning-based 3D Reconstruction of
  Objects of Arbitrary Topology from Single RGB Images
Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images
Tarek Ben Charrada
Hedi Tabia
A. Chetouani
Hamid Laga
3DV
28
0
0
24 Sep 2021
An Efficient Deep Learning Approach Using Improved Generative
  Adversarial Networks for Incomplete Information Completion of Self-driving
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving
Jingzhi Tu
Gang Mei
F. Piccialli
3DPC
21
2
0
01 Sep 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point
  Clouds
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
Siyuan Huang
Yichen Xie
Song-Chun Zhu
Yixin Zhu
3DPC
31
206
0
01 Sep 2021
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning
  Deformable Shape Generators
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
Qi-Xing Huang
Xiangru Huang
Bo Sun
Zaiwei Zhang
Junfeng Jiang
Chandrajit L. Bajaj
45
35
0
21 Aug 2021
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning
  through Hierarchical Prediction among Unordered Views
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
101
9
0
08 Aug 2021
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D
  Models for Game Scenes Population
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population
Ivan Kostiuk
Przemysław Stachura
S. Tadeja
Tomasz Trzciñski
Przemysław Spurek
24
4
0
03 Aug 2021
3D Shape Generation with Grid-based Implicit Functions
3D Shape Generation with Grid-based Implicit Functions
Moritz Ibing
I. Lim
Leif Kobbelt
39
60
0
22 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPC
SSL
18
81
0
05 Jul 2021
3D human tongue reconstruction from single "in-the-wild" images
3D human tongue reconstruction from single "in-the-wild" images
Stylianos Ploumpis
Stylianos Moschoglou
Vasileios Triantafyllou
S. Zafeiriou
3DH
19
6
0
23 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial
  Networks
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal
Javier Mauricio Duarte
Haoran Su
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopulos
27
75
0
22 Jun 2021
Z2P: Instant Visualization of Point Clouds
Z2P: Instant Visualization of Point Clouds
G. Metzer
Rana Hanocka
Raja Giryes
Niloy J. Mitra
Daniel Cohen-Or
3DH
3DPC
33
5
0
30 May 2021
Orienting Point Clouds with Dipole Propagation
Orienting Point Clouds with Dipole Propagation
G. Metzer
Rana Hanocka
Denis Zorin
Raja Giryes
Daniele Panozzo
Daniel Cohen-Or
3DPC
43
45
0
04 May 2021
3D Shape Generation and Completion through Point-Voxel Diffusion
3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou
Yilun Du
Jiajun Wu
DiffM
38
512
0
08 Apr 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of
  Set-Structured Data
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Jinwoo Kim
Jaehoon Yoo
Juho Lee
Seunghoon Hong
BDL
DRL
3DPC
35
79
0
29 Mar 2021
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
Przemysław Spurek
Sebastian Winczowski
Maciej Ziȩba
Tomasz Trzciñski
Kacper Kania
Marcin Mazur
20
4
0
11 Feb 2021
Point-set Distances for Learning Representations of 3D Point Clouds
Point-set Distances for Learning Representations of 3D Point Clouds
Trung Nguyen
Quang-Cuong Pham
Tam Le
Tung Pham
Nhat Ho
Binh-Son Hua
3DPC
33
70
0
08 Feb 2021
Measure-conditional Discriminator with Stationary Optimum for GANs and
  Statistical Distance Surrogates
Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
Liu Yang
Tingwei Meng
George Karniadakis
20
1
0
17 Jan 2021
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in
  3D
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
K. Cherenkova
Djamila Aouada
Gleb Gusev
3DPC
54
16
0
12 Jan 2021
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
Takumi Kimura
Takashi Matsubara
K. Uehara
3DPC
31
8
0
04 Dec 2020
Learning geometry-image representation for 3D point cloud generation
Learning geometry-image representation for 3D point cloud generation
Lei Wang
Yuchun Huang
Pengjie Tao
Yaolin Hou
Yuxuan Liu
3DPC
30
2
0
29 Nov 2020
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
Mattia Segu
Margarita Grinvald
Roland Siegwart
Federico Tombari
3DPC
24
21
0
26 Nov 2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao
Wenzheng Chen
Tommy Xiang
Clement Fuji-Tsang
Alec Jacobson
M. McGuire
Sanja Fidler
19
107
0
03 Nov 2020
Discovering Pattern Structure Using Differentiable Compositing
Discovering Pattern Structure Using Differentiable Compositing
P. Reddy
Paul Guerrero
Matthew Fisher
Wilmot Li
Miloy J. Mitra
16
28
0
17 Oct 2020
A Progressive Conditional Generative Adversarial Network for Generating
  Dense and Colored 3D Point Clouds
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds
Mohammad Arshad
William J. Beksi
3DPC
33
22
0
12 Oct 2020
Representing Point Clouds with Generative Conditional Invertible Flow
  Networks
Representing Point Clouds with Generative Conditional Invertible Flow Networks
Michal Stypulkowski
Kacper Kania
M. Zamorski
Maciej Ziȩba
Tomasz Trzciñski
J. Chorowski
3DPC
24
4
0
07 Oct 2020
Learning Gradient Fields for Shape Generation
Learning Gradient Fields for Shape Generation
Ruojin Cai
Guandao Yang
Hadar Averbuch-Elor
Jinwei Gu
Serge J. Belongie
Noah Snavely
B. Hariharan
3DPC
19
280
0
14 Aug 2020
Extrapolating false alarm rates in automatic speaker verification
Extrapolating false alarm rates in automatic speaker verification
A. Sholokhov
Tomi Kinnunen
Ville Vestman
Kong Aik Lee
19
1
0
08 Aug 2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation Estimation
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPC
SSL
8
116
0
01 Aug 2020
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part
  Disentanglement
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement
Rinon Gal
Amit H. Bermano
Hao Zhang
Daniel Cohen-Or
3DPC
16
18
0
25 Jul 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
Discrete Point Flow Networks for Efficient Point Cloud Generation
Roman Klokov
Edmond Boyer
Jakob Verbeek
3DPC
26
107
0
20 Jul 2020
Progressive Point Cloud Deconvolution Generation Network
Progressive Point Cloud Deconvolution Generation Network
Le Hui
Rui Xu
Jin Xie
J. Qian
Jian Yang
3DPC
27
72
0
10 Jul 2020
3D Topology Transformation with Generative Adversarial Networks
3D Topology Transformation with Generative Adversarial Networks
Luca Stornaiuolo
Nima Dehmamy
A. Barabási
Mauro Martino
16
3
0
07 Jul 2020
Set Distribution Networks: a Generative Model for Sets of Images
Set Distribution Networks: a Generative Model for Sets of Images
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Carlos Guestrin
J. Susskind
GAN
29
2
0
18 Jun 2020
HyperFlow: Representing 3D Objects as Surfaces
HyperFlow: Representing 3D Objects as Surfaces
Przemysław Spurek
Maciej Ziȩba
Jacek Tabor
Tomasz Trzciñski
3DPC
3DH
8
9
0
15 Jun 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Hyeongju Kim
Hyeonseung Lee
Woohyun Kang
Joun Yeop Lee
N. Kim
3DPC
25
114
0
08 Jun 2020
Self-supervised Modal and View Invariant Feature Learning
Self-supervised Modal and View Invariant Feature Learning
Longlong Jing
Yucheng Chen
Ling Zhang
Mingyi He
Yingli Tian
3DPC
SSL
14
29
0
28 May 2020
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point
  Cloud Downsampling
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling
Y. Qian
Junhui Hou
Qijian Zhang
Yiming Zeng
Sam Kwong
Ying He
3DPC
27
23
0
01 May 2020
Self-supervised Feature Learning by Cross-modality and Cross-view
  Correspondences
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences
Longlong Jing
Yucheng Chen
Ling Zhang
Mingyi He
Yingli Tian
3DPC
SSL
14
34
0
13 Apr 2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
Jinwei Gu
Hadar Averbuch-Elor
Noah Snavely
Serge J. Belongie
3DPC
27
112
0
06 Apr 2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
Marie-Julie Rakotosaona
M. Ovsjanikov
3DPC
10
14
0
03 Apr 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets
  for 3D Generation, Reconstruction and Classification
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Jianwen Xie
Yifei Xu
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
3DPC
27
80
0
02 Apr 2020
PointGMM: a Neural GMM Network for Point Clouds
PointGMM: a Neural GMM Network for Point Clouds
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
3DPC
33
65
0
30 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
33
130
0
29 Mar 2020
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree
  Conditions
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
Kaichun Mo
He Wang
Xinchen Yan
Leonidas J. Guibas
3DPC
28
40
0
19 Mar 2020
Energy-Based Processes for Exchangeable Data
Energy-Based Processes for Exchangeable Data
Mengjiao Yang
Bo Dai
H. Dai
Dale Schuurmans
22
12
0
17 Mar 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion
PF-Net: Point Fractal Network for 3D Point Cloud Completion
Zitian Huang
Yikuan Yu
Jiawen Xu
Feng Ni
Xinyi Le
3DPC
44
356
0
01 Mar 2020
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured
  2D Data
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
Sebastian Lunz
Yingzhen Li
Andrew Fitzgibbon
Nate Kushman
3DV
GAN
17
54
0
28 Feb 2020
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