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Local Deep Implicit Functions for 3D Shape

Local Deep Implicit Functions for 3D Shape

12 December 2019
Kyle Genova
Forrester Cole
Avneesh Sud
Aaron Sarna
Thomas Funkhouser
    3DV
    3DPC
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Papers citing "Local Deep Implicit Functions for 3D Shape"

15 / 15 papers shown
Title
A Simple Plugin for Transforming Images to Arbitrary Scales
A Simple Plugin for Transforming Images to Arbitrary Scales
Qinye Zhou
Zi-Hua Li
Weidi Xie
Xiaoyun Zhang
Ya Zhang
Yanfeng Wang
ViT
22
1
0
07 Oct 2022
3D Equivariant Graph Implicit Functions
3D Equivariant Graph Implicit Functions
Yunlu Chen
Basura Fernando
Hakan Bilen
Matthias Nießner
E. Gavves
3DPC
27
23
0
31 Mar 2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic
  Surface Representation via Neural Homeomorphism
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism
Jiahui Lei
Kostas Daniilidis
43
54
0
30 Mar 2022
Exploring Differential Geometry in Neural Implicits
Exploring Differential Geometry in Neural Implicits
Tiago Novello
Guilherme Gonçalves Schardong
L. Schirmer
V. Silva
Helio Lopes
Luiz Velho
82
26
0
23 Jan 2022
Learning Signal-Agnostic Manifolds of Neural Fields
Learning Signal-Agnostic Manifolds of Neural Fields
Yilun Du
Katherine M. Collins
J. Tenenbaum
Vincent Sitzmann
MedIm
29
47
0
11 Nov 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated
  Shape Representation
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
Jiteng Mu
Weichao Qiu
Adam Kortylewski
Alan Yuille
Nuno Vasconcelos
Xiaolong Wang
27
106
0
15 Apr 2021
Neural Unsigned Distance Fields for Implicit Function Learning
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane
Aymen Mir
Gerard Pons-Moll
29
320
0
26 Oct 2020
Implicit Feature Networks for Texture Completion from Partial 3D Data
Implicit Feature Networks for Texture Completion from Partial 3D Data
Julian Chibane
Gerard Pons-Moll
3DPC
3DV
3DH
12
44
0
20 Sep 2020
Learning Gradient Fields for Shape Generation
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
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
47
2,490
0
17 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
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
31
462
0
24 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
40
100
0
19 Feb 2020
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
191
1,942
0
24 Oct 2016
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