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CvxNet: Learnable Convex Decomposition

CvxNet: Learnable Convex Decomposition

12 September 2019
Boyang Deng
Kyle Genova
S. Yazdani
Sofien Bouaziz
Geoffrey E. Hinton
Andrea Tagliasacchi
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Papers citing "CvxNet: Learnable Convex Decomposition"

41 / 191 papers shown
Title
Neural Volume Rendering: NeRF And Beyond
Neural Volume Rendering: NeRF And Beyond
F. Dellaert
Yen-Chen Lin
23
61
0
17 Dec 2020
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Weiwei Sun
Andrea Tagliasacchi
Boyang Deng
S. Sabour
S. Yazdani
Geoffrey E. Hinton
K. M. Yi
3DPC
22
49
0
08 Dec 2020
Deep Implicit Templates for 3D Shape Representation
Deep Implicit Templates for 3D Shape Representation
Zerong Zheng
Tao Yu
Qionghai Dai
Yebin Liu
19
116
0
30 Nov 2020
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
Tarun Yenamandra
A. Tewari
Florian Bernard
Hans-Peter Seidel
Mohamed A. Elgharib
Daniel Cremers
Christian Theobalt
3DH
23
121
0
28 Nov 2020
Deformed Implicit Field: Modeling 3D Shapes with Learned Dense
  Correspondence
Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence
Yu Deng
Jiaolong Yang
Xin Tong
33
149
0
27 Nov 2020
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple
  Views
A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views
Riccardo Spezialetti
D. Tan
A. Tonioni
Keisuke Tateno
Federico Tombari
23
5
0
17 Nov 2020
DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation
  of Complex 3D Surfaces
DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces
R. Venkatesh
Sarthak Sharma
Aurobrata Ghosh
László A. Jeni
M. Singh
16
24
0
04 Nov 2020
Neural Unsigned Distance Fields for Implicit Function Learning
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane
Aymen Mir
Gerard Pons-Moll
25
320
0
26 Oct 2020
Neural Star Domain as Primitive Representation
Neural Star Domain as Primitive Representation
Yuki Kawana
Yusuke Mukuta
Tatsuya Harada
3DV
11
25
0
21 Oct 2020
Training Data Generating Networks: Shape Reconstruction via Bi-level
  Optimization
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization
Biao Zhang
Peter Wonka
3DPC
9
4
0
16 Oct 2020
Better Patch Stitching for Parametric Surface Reconstruction
Better Patch Stitching for Parametric Surface Reconstruction
Zhantao Deng
Jan Bednarík
Mathieu Salzmann
Pascal Fua
3DV
14
26
0
14 Oct 2020
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape
  Representations
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
E. Tretschk
A. Tewari
Vladislav Golyanik
Michael Zollhöfer
Carsten Stoll
Christian Theobalt
3DPC
3DH
3DV
19
107
0
04 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
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
Kunal Gupta
Manmohan Chandraker
AI4CE
54
77
0
21 Jul 2020
Learning Part Boundaries from 3D Point Clouds
Learning Part Boundaries from 3D Point Clouds
Marios Loizou
Melinos Averkiou
E. Kalogerakis
3DPC
20
33
0
15 Jul 2020
PIE-NET: Parametric Inference of Point Cloud Edges
PIE-NET: Parametric Inference of Point Cloud Edges
Xiaogang Wang
Yuelang Xu
Kai Xu
Andrea Tagliasacchi
Bin Zhou
Ali Mahdavi-Amiri
Hao Zhang
3DPC
20
95
0
09 Jul 2020
On the generalization of learning-based 3D reconstruction
On the generalization of learning-based 3D reconstruction
Miguel Angel Bautista
Walter A. Talbott
Shuangfei Zhai
Nitish Srivastava
J. Susskind
3DV
39
29
0
27 Jun 2020
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks
Francis Williams
Matthew Trager
Joan Bruna
Denis Zorin
21
67
0
24 Jun 2020
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSL
GNN
SSeg
AI4CE
45
79
0
22 Jun 2020
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree
Kacper Kania
Maciej Ziȩba
Tomasz Kajdanowicz
3DV
12
93
0
16 Jun 2020
ShapeFlow: Learnable Deformations Among 3D Shapes
ShapeFlow: Learnable Deformations Among 3D Shapes
C. Jiang
Jingwei Huang
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
AI4CE
22
44
0
14 Jun 2020
SALD: Sign Agnostic Learning with Derivatives
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon
Y. Lipman
24
143
0
09 Jun 2020
PointTriNet: Learned Triangulation of 3D Point Sets
PointTriNet: Learned Triangulation of 3D Point Sets
Nicholas Sharp
M. Ovsjanikov
3DPC
53
46
0
19 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
25
112
0
06 Apr 2020
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
34
107
0
02 Apr 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
26
45
0
30 Mar 2020
Semantic Implicit Neural Scene Representations With Semi-Supervised
  Training
Semantic Implicit Neural Scene Representations With Semi-Supervised Training
Amit Kohli
Vincent Sitzmann
Gordon Wetzstein
3DPC
25
14
0
28 Mar 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D
  Reconstruction
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Rohan Chabra
J. E. Lenssen
Eddy Ilg
Tanner Schmidt
Julian Straub
S. Lovegrove
Richard Newcombe
29
462
0
24 Mar 2020
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
240
558
0
19 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
Deep Hough Transform for Semantic Line Detection
Deep Hough Transform for Semantic Line Detection
Kai Zhao
Qi Han
Chang-Bin Zhang
Jun Xu
Mingg-Ming Cheng
16
176
0
10 Mar 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning Shapes
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
60
852
0
24 Feb 2020
Neural Shape Parsers for Constructive Solid Geometry
Neural Shape Parsers for Constructive Solid Geometry
Gopal Sharma
Rishabh Goyal
Difan Liu
E. Kalogerakis
Subhransu Maji
3DPC
3DV
14
28
0
22 Dec 2019
VoronoiNet: General Functional Approximators with Local Support
VoronoiNet: General Functional Approximators with Local Support
Francis Williams
Daniele Panozzo
K. M. Yi
Andrea Tagliasacchi
16
15
0
08 Dec 2019
NASA: Neural Articulated Shape Approximation
NASA: Neural Articulated Shape Approximation
Boyang Deng
J. P. Lewis
Timothy Jeruzalski
Gerard Pons-Moll
Geoffrey E. Hinton
Mohammad Norouzi
Andrea Tagliasacchi
30
211
0
06 Dec 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon
Y. Lipman
3DPC
FedML
17
502
0
23 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
26
309
0
16 Nov 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC
3DV
77
1,266
0
04 Jun 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
189
1,941
0
24 Oct 2016
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