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PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

28 June 2019
Guandao Yang
Xun Huang
Jinwei Gu
Ming-Yu Liu
Serge J. Belongie
Bharath Hariharan
    3DPC
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Papers citing "PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows"

50 / 446 papers shown
Title
OctField: Hierarchical Implicit Functions for 3D Modeling
OctField: Hierarchical Implicit Functions for 3D Modeling
Jiapeng Tang
Weikai Chen
Jie Yang
Bo Wang
Songrun Liu
Bo Yang
Lin Gao
19
39
0
01 Nov 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement
  Learning
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
H. Chung
Jungtaek Kim
Boris Knyazev
Jinhwi Lee
Graham W. Taylor
Jaesik Park
Minsu Cho
SSL
OffRL
18
20
0
29 Oct 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape
  Generation
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation
Shidi Li
Miaomiao Liu
Christian J. Walder
3DPC
54
28
0
13 Oct 2021
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
212
232
0
12 Oct 2021
HyperCube: Implicit Field Representations of Voxelized 3D Models
HyperCube: Implicit Field Representations of Voxelized 3D Models
Magdalena Proszewska
Marcin Mazur
Tomasz Trzciñski
P. Spurek
24
5
0
12 Oct 2021
Flow Plugin Network for conditional generation
Flow Plugin Network for conditional generation
Patryk Wielopolski
Michal Koperski
Maciej Ziȩba
3DPC
AI4CE
19
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
40
289
0
06 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
71
34
0
05 Oct 2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
Jing Ren
Biao Zhang
Bojian Wu
Jianqiang Huang
Lubin Fan
M. Ovsjanikov
Peter Wonka
19
19
0
16 Sep 2021
Low-Light Image Enhancement with Normalizing Flow
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang
Renjie Wan
Wenhan Yang
Haoliang Li
Lap-Pui Chau
Alex C. Kot
103
354
0
13 Sep 2021
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life
  3D Category Reconstruction
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
Jeremy Reizenstein
Roman Shapovalov
Philipp Henzler
L. Sbordone
Patrick Labatut
David Novotny
3DPC
3DV
63
449
0
01 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
13
2
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
33
35
0
21 Aug 2021
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval
  from a Single Image
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image
Weicheng Kuo
A. Angelova
Nayeon Lee
Angela Dai
3DV
3DPC
16
32
0
20 Aug 2021
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
Ruihui Li
Xianzhi Li
Ka-Hei Hui
Chi-Wing Fu
30
37
0
10 Aug 2021
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds
  by 2D Projection Matching
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching
Chao Chen
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
3DPC
30
38
0
08 Aug 2021
NODEO: A Neural Ordinary Differential Equation Based Optimization
  Framework for Deformable Image Registration
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration
Yifan Wu
Tom Z. Jiahao
Jiancong Wang
Paul Yushkevich
M. Hsieh
J. Gee
MedIm
42
29
0
07 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
P. Spurek
16
4
0
03 Aug 2021
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable
  Rendering
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
Yifan Zhao
Le Hui
Jin Xie
3DPC
10
34
0
01 Aug 2021
DCL: Differential Contrastive Learning for Geometry-Aware Depth
  Synthesis
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
Yuefan Shen
Yanchao Yang
Youyi Zheng
Karen Liu
Leonidas J. Guibas
MDE
23
5
0
27 Jul 2021
A Deep Signed Directional Distance Function for Object Shape
  Representation
A Deep Signed Directional Distance Function for Object Shape Representation
Ehsan Zobeidi
Nikolay Atanasov
3DV
16
13
0
23 Jul 2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
Aihua Mao
Zihui Du
Junhui Hou
Yaqi Duan
Yong-jin Liu
Ying He
3DPC
31
35
0
13 Jul 2021
Learning 3D Dense Correspondence via Canonical Point Autoencoder
Learning 3D Dense Correspondence via Canonical Point Autoencoder
An-Chieh Cheng
Xueting Li
Min Sun
Ming-Hsuan Yang
Sifei Liu
3DPC
26
29
0
10 Jul 2021
Language-Level Semantics Conditioned 3D Point Cloud Segmentation
Language-Level Semantics Conditioned 3D Point Cloud Segmentation
Bo Liu
Shuang Deng
Qiulei Dong
Zhanyi Hu
3DPC
28
8
0
01 Jul 2021
Closed-form Continuous-time Neural Models
Closed-form Continuous-time Neural Models
Ramin Hasani
Mathias Lechner
Alexander Amini
Lucas Liebenwein
Aaron Ray
Max Tschaikowski
G. Teschl
Daniela Rus
PINN
AI4TS
31
82
0
25 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
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene
  Decomposition
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition
Tianyu Wang
Miaomiao Liu
K. S. Ng
3DPC
OCL
34
2
0
10 Jun 2021
Shape As Points: A Differentiable Poisson Solver
Shape As Points: A Differentiable Poisson Solver
Songyou Peng
C. Jiang
Yiyi Liao
Michael Niemeyer
Marc Pollefeys
Andreas Geiger
3DPC
21
233
0
07 Jun 2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud
  Generation and Reconstruction
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction
Janis Postels
Mengya Liu
Riccardo Spezialetti
Luc Van Gool
Federico Tombari
AI4CE
3DPC
14
22
0
06 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
RPG: Learning Recursive Point Cloud Generation
RPG: Learning Recursive Point Cloud Generation
Wei-Jan Ko
Hui Huang
Yu-Liang Kuo
Chen-Yi Chiu
Li-Heng Wang
Wei-Chen Chiu
3DPC
21
6
0
29 May 2021
DeepCAD: A Deep Generative Network for Computer-Aided Design Models
DeepCAD: A Deep Generative Network for Computer-Aided Design Models
Rundi Wu
Chang Xiao
Changxi Zheng
3DPC
27
160
0
20 May 2021
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
Guiyu Tian
Wenhao Jiang
Wei Liu
Yadong Mu
3DPC
AAML
14
13
0
11 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
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local
  Elements
SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
Qianli Ma
Shunsuke Saito
Jinlong Yang
Siyu Tang
Michael J. Black
3DH
AI4CE
16
96
0
15 Apr 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
29
510
0
08 Apr 2021
DiffAqua: A Differentiable Computational Design Pipeline for Soft
  Underwater Swimmers with Shape Interpolation
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation
Pingchuan Ma
Tao Du
John Z. Zhang
Kui Wu
Andrew Spielberg
Robert K. Katzschmann
Wojciech Matusik
41
37
0
02 Apr 2021
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for
  Autonomous Driving Virtual Test
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
Pengliang Ji
Li Ruan
Yunzhi Xue
Limin Xiao
Qian Dong
34
35
0
01 Apr 2021
Unsupervised Learning of 3D Object Categories from Videos in the Wild
Unsupervised Learning of 3D Object Categories from Videos in the Wild
Philipp Henzler
Jeremy Reizenstein
Patrick Labatut
Roman Shapovalov
Tobias Ritschel
Andrea Vedaldi
David Novotny
3DPC
3DV
21
74
0
30 Mar 2021
Variational models for signal processing with Graph Neural Networks
Variational models for signal processing with Graph Neural Networks
A. Azad
Julien Rabin
A. Elmoataz
3DPC
GNN
14
0
0
30 Mar 2021
Flow-based Kernel Prior with Application to Blind Super-Resolution
Flow-based Kernel Prior with Application to Blind Super-Resolution
Jingyun Liang
Kaixuan Zhang
Shuhang Gu
Luc Van Gool
Radu Timofte
SupR
22
126
0
29 Mar 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
27
79
0
29 Mar 2021
LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface
  Representation
LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation
Abol Basher
M. Sarmad
Jani Boutellier
3DV
43
13
0
26 Mar 2021
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Shilin Liu
Haoxiang Guo
Hao Pan
Peng-Shuai Wang
Xin Tong
Yang Liu
3DPC
3DV
29
97
0
23 Mar 2021
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible
  Neural Networks
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
Despoina Paschalidou
Angelos Katharopoulos
Andreas Geiger
Sanja Fidler
3DPC
3DV
3DH
24
112
0
18 Mar 2021
Meta-Solver for Neural Ordinary Differential Equations
Meta-Solver for Neural Ordinary Differential Equations
Julia Gusak
A. Katrutsa
Talgat Daulbaev
A. Cichocki
Ivan V. Oseledets
11
2
0
15 Mar 2021
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration
Tianyu Zhao
Qiaojun Feng
Sai Jadhav
Nikolay Atanasov
3DPC
28
8
0
11 Mar 2021
Holistic 3D Scene Understanding from a Single Image with Implicit
  Representation
Holistic 3D Scene Understanding from a Single Image with Implicit Representation
Cheng Zhang
Zhaopeng Cui
Yinda Zhang
B. Zeng
Marc Pollefeys
Shuaicheng Liu
38
102
0
11 Mar 2021
Learning to Generate 3D Shapes with Generative Cellular Automata
Learning to Generate 3D Shapes with Generative Cellular Automata
Dongsu Zhang
Changwoon Choi
Jeonghwan Kim
Y. Kim
23
24
0
06 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
721
0
02 Mar 2021
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