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HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand
  Reconstruction with Normalizing Flow

HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow

4 October 2022
Jiayi Wang
D. Luvizon
Franziska Mueller
Florian Bernard
Adam Kortylewski
Dan Casas
Christian Theobalt
    3DH
ArXivPDFHTML

Papers citing "HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow"

5 / 5 papers shown
Title
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing
  Flow with Offset
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
Chaofan Huo
Ye-ling Shi
Yuexin Ma
Lan Xu
Jingyi Yu
Jingya Wang
3DH
26
8
0
30 Jul 2024
3D Pose Estimation of Two Interacting Hands from a Monocular Event
  Camera
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera
Christen Millerdurai
D. Luvizon
Viktor Rudnev
André Jonas
Jiayi Wang
Christian Theobalt
Vladislav Golyanik
25
9
0
21 Dec 2023
Decaf: Monocular Deformation Capture for Face and Hand Interactions
Decaf: Monocular Deformation Capture for Face and Hand Interactions
Soshi Shimada
Carlos Esteves
A. Makadia
Stella X. Yu
3DH
CVBM
21
11
0
28 Sep 2023
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
15
34
0
27 Oct 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1