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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
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models
Tristan Aumentado-Armstrong
Stavros Tsogkas
Sven J. Dickinson
Allan D. Jepson
OCL
DRL
20
6
0
27 Feb 2021
Learning to Drop Points for LiDAR Scan Synthesis
Kazuto Nakashima
Ryo Kurazume
3DPC
16
26
0
23 Feb 2021
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
Takashi Matsubara
Yuto Miyatake
Takaharu Yaguchi
20
23
0
19 Feb 2021
Partially Observed Exchangeable Modeling
Yang Li
Junier B. Oliva
15
5
0
11 Feb 2021
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas
P. Spurek
Sebastian Winczowski
Maciej Ziȩba
Tomasz Trzciñski
Kacper Kania
Marcin Mazur
12
4
0
11 Feb 2021
HyperPocket: Generative Point Cloud Completion
P. Spurek
Artur Kasymov
Marcin Mazur
Diana Janik
S. Tadeja
Lukasz Struski
Jacek Tabor
Tomasz Trzciñski
3DPC
19
17
0
11 Feb 2021
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
Mimetic Neural Networks: A unified framework for Protein Design and Folding
Moshe Eliasof
Tue Boesen
E. Haber
C. Keasar
Eran Treister
AI4CE
30
12
0
07 Feb 2021
Neural representation and generation for RNA secondary structures
Zichao Yan
William L. Hamilton
Mathieu Blanchette
40
2
0
01 Feb 2021
GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks
Tianming Zhao
Chunyang Chen
Yuanning Liu
Xiaodong Zhu Jilin University
29
56
0
25 Jan 2021
Joint Learning of 3D Shape Retrieval and Deformation
Mikaela Angelina Uy
Vladimir G. Kim
Minhyuk Sung
Noam Aigerman
S. Chaudhuri
Leonidas J. Guibas
3DPC
3DV
27
49
0
19 Jan 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Xingjian Zhen
Rudrasis Chakraborty
Liu Yang
Vikas Singh
DRL
MedIm
31
9
0
18 Dec 2020
Geometric Adversarial Attacks and Defenses on 3D Point Clouds
Itai Lang
Uriel Kotlicki
S. Avidan
AAML
3DPC
29
17
0
10 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
Takumi Kimura
Takashi Matsubara
K. Uehara
3DPC
31
8
0
04 Dec 2020
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring
Luis Felipe M.O. Henriques
Eduardo Morgan
S. Colcher
Ruy Luiz Milidiú
6
0
0
30 Nov 2020
Deep Implicit Templates for 3D Shape Representation
Zerong Zheng
Tao Yu
Qionghai Dai
Yebin Liu
19
116
0
30 Nov 2020
Generative Layout Modeling using Constraint Graphs
W. Para
Paul Guerrero
Tom Kelly
Leonidas J. Guibas
Peter Wonka
28
51
0
26 Nov 2020
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
Mattia Segu
Margarita Grinvald
Roland Siegwart
Federico Tombari
3DPC
19
21
0
26 Nov 2020
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao
Wenzheng Chen
Tommy Xiang
Clement Fuji-Tsang
Alec Jacobson
M. McGuire
Sanja Fidler
14
107
0
03 Nov 2020
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane
Aymen Mir
Gerard Pons-Moll
25
319
0
26 Oct 2020
A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds
Mohammad Arshad
William J. Beksi
3DPC
30
22
0
12 Oct 2020
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
Scalable Normalizing Flows for Permutation Invariant Densities
Marin Bilos
Stephan Günnemann
TPM
11
23
0
07 Oct 2020
OneFlow: One-class flow for anomaly detection based on a minimal volume region
Łukasz Maziarka
Marek Śmieja
Marcin Sendera
Łukasz Struski
Jacek Tabor
P. Spurek
8
6
0
06 Oct 2020
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Hanchen Wang
Qi Liu
Xiangyu Yue
Joan Lasenby
Matt J. Kusner
3DPC
13
243
0
02 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao
Karsten Kreis
Jan Kautz
Arash Vahdat
16
123
0
01 Oct 2020
Improved Modeling of 3D Shapes with Multi-view Depth Maps
Kamal Gupta
Susmija Jabbireddy
Ketul Shah
Abhinav Shrivastava
Matthias Zwicker
3DV
11
5
0
07 Sep 2020
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
Xu Chen
Zijian Dong
Jie Song
Andreas Geiger
Otmar Hilliges
16
128
0
18 Aug 2020
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
LPMNet: Latent Part Modification and Generation for 3D Point Clouds
Cihan Ongun
A. Temi̇zel
3DPC
21
10
0
08 Aug 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe
Tolga Birdal
Yongheng Zhao
Zan Gojcic
Srinath Sridhar
Leonidas J. Guibas
3DPC
26
71
0
06 Aug 2020
Exchangeable Neural ODE for Set Modeling
Yang Li
Haidong Yi
Christopher M. Bender
Siyuan Shan
Junier B. Oliva
BDL
10
30
0
06 Aug 2020
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
Rameen Abdal
Peihao Zhu
Niloy Mitra
Peter Wonka
17
525
0
06 Aug 2020
Continuous-in-Depth Neural Networks
A. Queiruga
N. Benjamin Erichson
D. Taylor
Michael W. Mahoney
18
45
0
05 Aug 2020
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
Nicolai Häni
Selim Engin
Jun-Jee Chao
Volkan Isler
3DV
6
0
0
30 Jul 2020
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
Weicheng Kuo
A. Angelova
Nayeon Lee
Angela Dai
3DPC
18
67
0
26 Jul 2020
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
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
Kunal Gupta
Manmohan Chandraker
AI4CE
54
78
0
21 Jul 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
Roman Klokov
Edmond Boyer
Jakob Verbeek
3DPC
26
107
0
20 Jul 2020
Hypersolvers: Toward Fast Continuous-Depth Models
Michael Poli
Stefano Massaroli
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
BDL
AI4CE
22
46
0
19 Jul 2020
Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi
Jeremy Reizenstein
David Novotny
Taylor Gordon
Wan-Yen Lo
Justin Johnson
Georgia Gkioxari
3DPC
31
907
0
16 Jul 2020
Progressive Point Cloud Deconvolution Generation Network
Le Hui
Rui Xu
Jin Xie
J. Qian
Jian Yang
3DPC
27
72
0
10 Jul 2020
Detail Preserved Point Cloud Completion via Separated Feature Aggregation
Wenxiao Zhang
Qingan Yan
Chunxia Xiao
3DPC
19
133
0
05 Jul 2020
Deep Geometric Texture Synthesis
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
GAN
3DV
22
69
0
30 Jun 2020
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans
Angela Dai
Yawar Siddiqui
Justus Thies
Julien P. C. Valentin
Matthias Nießner
18
39
0
25 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta
Justin Lazarow
Alessandro Achille
Larry S. Davis
Vijay Mahadevan
Abhinav Shrivastava
ViT
36
136
0
25 Jun 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
SupR
DRL
23
356
0
25 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Carlos Guestrin
J. Susskind
GAN
24
2
0
18 Jun 2020
Towards a Neural Graphics Pipeline for Controllable Image Generation
Xuelin Chen
Daniel Cohen-Or
Baoquan Chen
Niloy J. Mitra
14
7
0
18 Jun 2020
3D Shape Reconstruction from Free-Hand Sketches
Jiayun Wang
Jierui Lin
Qian Yu
Runtao Liu
Yubei Chen
Stella X. Yu
16
39
0
17 Jun 2020
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