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Predicting Animation Skeletons for 3D Articulated Models via Volumetric
  Nets

Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets

22 August 2019
Zhan Xu
Yang Zhou
E. Kalogerakis
Karan Singh
    3DH
ArXivPDFHTML

Papers citing "Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets"

9 / 9 papers shown
Title
Anymate: A Dataset and Baselines for Learning 3D Object Rigging
Anymate: A Dataset and Baselines for Learning 3D Object Rigging
Yufan Deng
Yuhao Zhang
Chen Geng
Shangzhe Wu
Jiajun Wu
3DH
52
0
0
09 May 2025
Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
Zhiyang Guo
Jinxu Xiang
Kai Ma
Wengang Zhou
H. Li
Ran Zhang
3DH
87
2
0
27 Nov 2024
SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point
  Cloud Registration
SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration
Kezheng Xiong
Maoji Zheng
Qingshan Xu
Chenglu Wen
Siqi Shen
Cheng-Yu Wang
3DPC
26
10
0
14 Dec 2023
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Jiaxu Zhang
Shaoli Huang
Zhigang Tu
Xin Chen
Xiaohang Zhan
Gang Yu
Ying Shan
21
9
0
19 Oct 2023
Morig: Motion-aware rigging of character meshes from point clouds
Morig: Motion-aware rigging of character meshes from point clouds
Zhan Xu
Yang Zhou
Li Yi
E. Kalogerakis
3DPC
25
12
0
17 Oct 2022
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent
  Dynamics from Volumetric Video
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
Jinseok Bae
Hojun Jang
Cheol-Hui Min
H. Choi
Y. Kim
13
5
0
17 Feb 2022
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Chu-Hsing Lin
Changjian Li
Yuan-Bin Liu
Nenglun Chen
Yi-King Choi
Wenping Wang
3DPC
18
49
0
01 Dec 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
251
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
244
3,236
0
24 Nov 2016
1