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Procrustean Regression Networks: Learning 3D Structure of Non-Rigid
  Objects from 2D Annotations

Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations

21 July 2020
Sungheon Park
Minsik Lee
Nojun Kwak
ArXiv (abs)PDFHTML

Papers citing "Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations"

6 / 6 papers shown
Title
Non-rigid Structure-from-Motion: Temporally-smooth Procrustean Alignment and Spatially-variant Deformation Modeling
Non-rigid Structure-from-Motion: Temporally-smooth Procrustean Alignment and Spatially-variant Deformation Modeling
Jiawei Shi
Huizhong Deng
Yuchao Dai
63
0
0
07 May 2024
Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose
  from 2D Images
Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images
Y. Can
Alexander Liniger
D. Paudel
Luc Van Gool
3DH3DPC
70
0
0
14 Nov 2022
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
Edith Tretschk
Navami Kairanda
R. MallikarjunB.
Rishabh Dabral
Adam Kortylewski
Bernhard Egger
Marc Habermann
Pascal Fua
Christian Theobalt
Vladislav Golyanik
3DH
120
36
0
27 Oct 2022
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D
  Views
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views
H. Zeng
Xin Yu
Jiaxu Miao
Yezhou Yang
3DV
91
8
0
19 Jul 2022
End-to-End Learning of Multi-category 3D Pose and Shape Estimation
End-to-End Learning of Multi-category 3D Pose and Shape Estimation
Y. Can
Alexander Liniger
D. Paudel
Luc Van Gool
3DV3DH
84
1
0
19 Dec 2021
PAUL: Procrustean Autoencoder for Unsupervised Lifting
PAUL: Procrustean Autoencoder for Unsupervised Lifting
Chaoyang Wang
Simon Lucey
117
8
0
31 Mar 2021
1