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Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

4 April 2020
Dominik Kulon
R. Güler
Iasonas Kokkinos
M. Bronstein
S. Zafeiriou
    3DH
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Papers citing "Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild"

9 / 59 papers shown
Title
Keypoint Transformer: Solving Joint Identification in Challenging Hands
  and Object Interactions for Accurate 3D Pose Estimation
Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation
Shreyas Hampali
S. Sarkar
Mahdi Rad
Vincent Lepetit
3DH
23
132
0
29 Apr 2021
Reconstructing Hand-Object Interactions in the Wild
Reconstructing Hand-Object Interactions in the Wild
Zhe Cao
Ilija Radosavovic
Angjoo Kanazawa
Jitendra Malik
3DH
25
146
0
17 Dec 2020
Exploiting Learnable Joint Groups for Hand Pose Estimation
Exploiting Learnable Joint Groups for Hand Pose Estimation
Moran Li
Yuan Gao
Nong Sang
3DH
29
35
0
17 Dec 2020
Monocular Real-time Full Body Capture with Inter-part Correlations
Monocular Real-time Full Body Capture with Inter-part Correlations
Yuxiao Zhou
Marc Habermann
I. Habibie
A. Tewari
Christian Theobalt
F. Xu
CVBM
3DH
46
63
0
11 Dec 2020
NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets
NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets
Gyeongsik Moon
Hongsuk Choi
Kyoung Mu Lee
3DH
26
60
0
23 Nov 2020
Monocular Expressive Body Regression through Body-Driven Attention
Monocular Expressive Body Regression through Body-Driven Attention
Vasileios Choutas
Georgios Pavlakos
Timo Bolkart
Dimitrios Tzionas
Michael J. Black
3DH
CVBM
32
233
0
20 Aug 2020
Grasping Field: Learning Implicit Representations for Human Grasps
Grasping Field: Learning Implicit Representations for Human Grasps
Korrawe Karunratanakul
Jinlong Yang
Yan Zhang
Michael J. Black
Krikamol Muandet
Siyu Tang
3DH
28
207
0
10 Aug 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
260
1,811
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
261
3,240
0
24 Nov 2016
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