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Neural Star Domain as Primitive Representation

Neural Star Domain as Primitive Representation

21 October 2020
Yuki Kawana
Yusuke Mukuta
Tatsuya Harada
    3DV
ArXivPDFHTML

Papers citing "Neural Star Domain as Primitive Representation"

26 / 26 papers shown
Title
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from
  a Single RGB Image
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
Despoina Paschalidou
Luc van Gool
Andreas Geiger
3DV
OCL
41
107
0
02 Apr 2020
Shape Reconstruction by Learning Differentiable Surface Representations
Shape Reconstruction by Learning Differentiable Surface Representations
Jan Bednarík
Shaifali Parashar
Erhan Gundogdu
Mathieu Salzmann
Pascal Fua
3DV
28
58
0
25 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
55
309
0
16 Nov 2019
CvxNet: Learnable Convex Decomposition
CvxNet: Learnable Convex Decomposition
Boyang Deng
Kyle Genova
S. Yazdani
Sofien Bouaziz
Geoffrey E. Hinton
Andrea Tagliasacchi
46
254
0
12 Sep 2019
Learning elementary structures for 3D shape generation and matching
Learning elementary structures for 3D shape generation and matching
Theo Deprelle
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
29
187
0
13 Aug 2019
SDM-NET: Deep Generative Network for Structured Deformable Mesh
SDM-NET: Deep Generative Network for Structured Deformable Mesh
Lin Gao
Jie Yang
Tong Wu
Yu-Jie Yuan
Hongbo Fu
Yu-Kun Lai
Hao Zhang
3DV
50
196
0
13 Aug 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
A. Poulenard
Marie-Julie Rakotosaona
Yann Ponty
M. Ovsjanikov
3DPC
46
103
0
27 Jun 2019
What Do Single-view 3D Reconstruction Networks Learn?
What Do Single-view 3D Reconstruction Networks Learn?
Maxim Tatarchenko
Stephan R. Richter
René Ranftl
Zhuwen Li
V. Koltun
Thomas Brox
3DV
28
427
0
09 May 2019
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Despoina Paschalidou
Ali O. Ulusoy
Andreas Geiger
39
193
0
22 Apr 2019
Learning Shape Templates with Structured Implicit Functions
Learning Shape Templates with Structured Implicit Functions
Kyle Genova
Forrester Cole
Daniel Vlasic
Aaron Sarna
William T. Freeman
Thomas Funkhouser
3DV
57
382
0
12 Apr 2019
HoloGAN: Unsupervised learning of 3D representations from natural images
HoloGAN: Unsupervised learning of 3D representations from natural images
Thu Nguyen-Phuoc
Chuan Li
Lucas Theis
Christian Richardt
Yong-Liang Yang
GAN
23
78
0
02 Apr 2019
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Zhiqin Chen
K. Yin
Matthew Fisher
S. Chaudhuri
Hao Zhang
48
138
0
27 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
69
3,654
0
16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
207
2,875
0
10 Dec 2018
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical
  Part-level 3D Object Understanding
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
Kaichun Mo
Shilin Zhu
Angel X. Chang
L. Yi
Subarna Tripathi
Leonidas Guibas
Hao Su
3DPC
3DV
64
727
0
06 Dec 2018
Generating 3D faces using Convolutional Mesh Autoencoders
Generating 3D faces using Convolutional Mesh Autoencoders
Anurag Ranjan
Timo Bolkart
Soubhik Sanyal
Michael J. Black
CVBM
3DH
41
572
0
26 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
65
267
0
24 Jun 2018
Im2Struct: Recovering 3D Shape Structure from a Single RGB Image
Im2Struct: Recovering 3D Shape Structure from a Single RGB Image
Chengjie Niu
Jun Li
Kai Xu
3DV
39
127
0
16 Apr 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Nanyang Wang
Yinda Zhang
Zhuwen Li
Yanwei Fu
Wen Liu
Yu-Gang Jiang
3DV
65
1,323
0
05 Apr 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DV
114
1,181
0
15 Feb 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
98
898
0
30 Jan 2018
End-to-end Recovery of Human Shape and Pose
End-to-end Recovery of Human Shape and Pose
Angjoo Kanazawa
Michael J. Black
David Jacobs
Jitendra Malik
3DH
160
1,783
0
18 Dec 2017
Learning Shape Abstractions by Assembling Volumetric Primitives
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani
Hao Su
Leonidas Guibas
Alexei A. Efros
Jitendra Malik
52
358
0
01 Dec 2016
Understanding Deep Neural Networks with Rectified Linear Units
Understanding Deep Neural Networks with Rectified Linear Units
R. Arora
A. Basu
Poorya Mianjy
Anirbit Mukherjee
PINN
118
640
0
04 Nov 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
49
1,710
0
02 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
38
5,482
0
09 Dec 2015
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