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DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

16 January 2019
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
    3DV
ArXiv (abs)PDFHTML

Papers citing "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation"

4 / 2,504 papers shown
Title
Variational Auto-Decoder: A Method for Neural Generative Modeling from
  Incomplete Data
Variational Auto-Decoder: A Method for Neural Generative Modeling from Incomplete Data
Amir Zadeh
Y. Lim
Paul Pu Liang
Louis-Philippe Morency
DRL
67
16
0
03 Mar 2019
Unsupervised Image Decomposition in Vector Layers
Unsupervised Image Decomposition in Vector Layers
Othman Sbai
Camille Couprie
Mathieu Aubry
105
8
0
13 Dec 2018
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
258
2,915
0
10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE3DV
204
1,641
0
06 Dec 2018
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