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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"

26 / 26 papers shown
Title
Interacting Attention Graph for Single Image Two-Hand Reconstruction
Interacting Attention Graph for Single Image Two-Hand Reconstruction
Mengcheng Li
Liang An
Hongwen Zhang
Lianpeng Wu
F. Chen
Tao Yu
Yebin Liu
3DH
63
108
0
17 Mar 2022
Probabilistic Modeling for Human Mesh Recovery
Probabilistic Modeling for Human Mesh Recovery
Nikos Kolotouros
Georgios Pavlakos
Dinesh Jayaraman
Kostas Daniilidis
3DH
43
166
0
26 Aug 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
Tom Wehrbein
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
3DH
70
118
0
29 Jul 2021
Learning to Disambiguate Strongly Interacting Hands via Probabilistic
  Per-pixel Part Segmentation
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
Zicong Fan
Adrian Spurr
Muhammed Kocabas
Siyu Tang
Michael J. Black
Otmar Hilliges
3DH
60
49
0
01 Jul 2021
Real-time Pose and Shape Reconstruction of Two Interacting Hands With a
  Single Depth Camera
Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera
Franziska Mueller
Micah Davis
Florian Bernard
Oleksandr Sotnychenko
M. Verschoor
M. Otaduy
Dan Casas
Christian Theobalt
3DH
74
159
0
15 Jun 2021
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose
  Estimation from a Single RGB Image
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
Gyeongsik Moon
Shoou-I Yu
He Wen
Takaaki Shiratori
Kyoung Mu Lee
3DH
63
284
0
21 Aug 2020
Two-hand Global 3D Pose Estimation Using Monocular RGB
Two-hand Global 3D Pose Estimation Using Monocular RGB
Fanqing Lin
Connor Wilhelm
Tony R. Martinez
3DH
42
40
0
01 Jun 2020
Leveraging Photometric Consistency over Time for Sparsely Supervised
  Hand-Object Reconstruction
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction
Yana Hasson
Bugra Tekin
Federica Bogo
Ivan Laptev
Marc Pollefeys
Cordelia Schmid
3DH
61
187
0
28 Apr 2020
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose
  Estimation from a Single Depth Map
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map
J. Malik
Ibrahim Abdelaziz
Ahmed Elhayek
Soshi Shimada
Sk Aziz Ali
Vladislav Golyanik
Christian Theobalt
D. Stricker
3DH
66
69
0
03 Apr 2020
Weakly Supervised 3D Human Pose and Shape Reconstruction with
  Normalizing Flows
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows
Andrei Zanfir
Eduard Gabriel Bazavan
Hongyi Xu
Bill Freeman
Rahul Sukthankar
C. Sminchisescu
3DH
57
134
0
23 Mar 2020
Learning Likelihoods with Conditional Normalizing Flows
Learning Likelihoods with Conditional Normalizing Flows
Christina Winkler
Daniel E. Worrall
Emiel Hoogeboom
Max Welling
TPM
89
222
0
29 Nov 2019
Camera Distance-aware Top-down Approach for 3D Multi-person Pose
  Estimation from a Single RGB Image
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
Gyeongsik Moon
Ju Yong Chang
Kyoung Mu Lee
3DH
145
321
0
26 Jul 2019
Learning joint reconstruction of hands and manipulated objects
Learning joint reconstruction of hands and manipulated objects
Yana Hasson
Gül Varol
Dimitrios Tzionas
Igor Kalevatykh
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
39
527
0
11 Apr 2019
3D Hand Shape and Pose from Images in the Wild
3D Hand Shape and Pose from Images in the Wild
A. Boukhayma
Rodrigo de Bem
Philip Torr
3DH
54
350
0
09 Feb 2019
On the Continuity of Rotation Representations in Neural Networks
On the Continuity of Rotation Representations in Neural Networks
Yi Zhou
Connelly Barnes
Jingwan Lu
Jimei Yang
Hao Li
3DH
45
1,267
0
17 Dec 2018
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Adam Kortylewski
Mario Wieser
Andreas Morel-Forster
Aleksander Wieczorek
S. Parbhoo
Volker Roth
T. Vetter
GAN
CVBM
37
12
0
19 Nov 2018
GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB
GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB
Franziska Mueller
Florian Bernard
Oleksandr Sotnychenko
Dushyant Mehta
Srinath Sridhar
Dan Casas
Christian Theobalt
3DH
82
518
0
04 Dec 2017
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density
  Network
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network
Qianru Ye
Tae-Kyun Kim
3DH
88
53
0
29 Nov 2017
Hand Keypoint Detection in Single Images using Multiview Bootstrapping
Hand Keypoint Detection in Single Images using Multiview Bootstrapping
Tomas Simon
Hanbyul Joo
I. Matthews
Yaser Sheikh
3DH
73
1,110
0
25 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
314
4,667
0
15 Mar 2017
Fast and Robust Hand Tracking Using Detection-Guided Optimization
Fast and Robust Hand Tracking Using Detection-Guided Optimization
Srinath Sridhar
Franziska Mueller
Antti Oulasvirta
Christian Theobalt
3DH
40
250
0
12 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Capturing Hands in Action using Discriminative Salient Points and
  Physics Simulation
Capturing Hands in Action using Discriminative Salient Points and Physics Simulation
Dimitrios Tzionas
Luca Ballan
A. Srikantha
Pablo Aponte
Marc Pollefeys
Juergen Gall
54
291
0
06 Jun 2015
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
541
9,233
0
06 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
270
4,143
0
21 May 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
395
16,962
0
20 Dec 2013
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