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Deep Parametric Shape Predictions using Distance Fields
v1v2 (latest)

Deep Parametric Shape Predictions using Distance Fields

18 April 2019
Dmitriy Smirnov
Matthew Fisher
Vladimir G. Kim
Richard Y. Zhang
Justin Solomon
ArXiv (abs)PDFHTML

Papers citing "Deep Parametric Shape Predictions using Distance Fields"

29 / 29 papers shown
Title
VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions
VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions
Zeqing Xia
Bojun Xiong
Zheng Lian
3DV
137
8
0
22 Mar 2023
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
Despoina Paschalidou
Ali O. Ulusoy
Andreas Geiger
56
194
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
82
383
0
12 Apr 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
133
3,688
0
16 Jan 2019
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces
Jun Gao
Chengcheng Tang
Vignesh Ganapathi-Subramanian
Jiahui Huang
Hao Su
Leonidas Guibas
3DPC
58
35
0
12 Jan 2019
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Lingxiao Li
Minhyuk Sung
Anastasia Dubrovina
L. Yi
Leonidas Guibas
3DPC
55
177
0
22 Nov 2018
Parsing Geometry Using Structure-Aware Shape Templates
Parsing Geometry Using Structure-Aware Shape Templates
Vignesh Ganapathi-Subramanian
Olga Diamanti
Soren Pirk
Chengcheng Tang
Matthias Niessner
Leonidas Guibas
3DPC3DV
60
37
0
03 Aug 2018
Learning 3D Shape Completion under Weak Supervision
Learning 3D Shape Completion under Weak Supervision
David Stutz
Andreas Geiger
3DPCSSL
74
106
0
18 May 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
59
128
0
16 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
144
1,184
0
15 Feb 2018
Vectorization of Line Drawings via PolyVector Fields
Vectorization of Line Drawings via PolyVector Fields
Mikhail Bessmeltsev
Justin Solomon
41
93
0
05 Jan 2018
Multi-Content GAN for Few-Shot Font Style Transfer
Multi-Content GAN for Few-Shot Font Style Transfer
S. Azadi
Matthew Fisher
Vladimir G. Kim
Zhaowen Wang
Eli Shechtman
Trevor Darrell
DiffM
63
308
0
01 Dec 2017
Toward Multimodal Image-to-Image Translation
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu
Richard Y. Zhang
Deepak Pathak
Trevor Darrell
Alexei A. Efros
Oliver Wang
Eli Shechtman
123
1,352
0
30 Nov 2017
A Point Set Generation Network for 3D Object Reconstruction from a
  Single Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC3DV
169
2,238
0
02 Dec 2016
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
84
360
0
01 Dec 2016
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Angela Dai
C. Qi
Matthias Nießner
3DV3DPC
80
606
0
01 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
326
19,651
0
21 Nov 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,494
0
21 Jul 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
265
18,240
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 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
86
1,716
0
02 Apr 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
From A to Z: Supervised Transfer of Style and Content Using Deep Neural
  Network Generators
From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators
P. Upchurch
Noah Snavely
Kavita Bala
GAN
54
44
0
07 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
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
162
5,530
0
09 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,524
0
23 Nov 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
271
8,446
0
23 Nov 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
160
3,218
0
05 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
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