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MoMask: Generative Masked Modeling of 3D Human Motions

MoMask: Generative Masked Modeling of 3D Human Motions

29 November 2023
Chuan Guo
Yuxuan Mu
Muhammad Gohar Javed
Sen Wang
Li Cheng
    VGen
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Papers citing "MoMask: Generative Masked Modeling of 3D Human Motions"

5 / 105 papers shown
Title
TEACH: Temporal Action Composition for 3D Humans
TEACH: Temporal Action Composition for 3D Humans
Nikos Athanasiou
Mathis Petrovich
Michael J. Black
Gül Varol
92
142
0
09 Sep 2022
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of
  3D Human Motions and Texts
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
Chuan Guo
Xinxin Xuo
Sen Wang
Li Cheng
VGen
84
230
0
04 Jul 2022
Action2video: Generating Videos of Human 3D Actions
Action2video: Generating Videos of Human 3D Actions
Chuan Guo
Wei Ji
Sen Wang
Xinshuang Liu
Shihao Zou
Minglun Gong
Li Cheng
3DH
73
22
0
12 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,457
0
11 Nov 2021
The KIT Motion-Language Dataset
The KIT Motion-Language Dataset
Matthias Plappert
Christian Mandery
Tamim Asfour
193
273
0
13 Jul 2016
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