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Learning Diverse Stochastic Human-Action Generators by Learning Smooth
  Latent Transitions

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

21 December 2019
Zhenyi Wang
Ping Yu
Yang Zhao
Ruiyi Zhang
Yufan Zhou
Junsong Yuan
Changyou Chen
ArXivPDFHTML

Papers citing "Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions"

5 / 5 papers shown
Title
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis
Seong-Eun Hong
Soobin Lim
Juyeong Hwang
Minwook Chang
Hyeongyeop Kang
85
0
0
28 Nov 2024
Scaling Large Motion Models with Million-Level Human Motions
Scaling Large Motion Models with Million-Level Human Motions
Ye Wang
Sipeng Zheng
Bin Cao
Qianshan Wei
Qin Jin
Qin Jin
Zongqing Lu
VGen
29
0
0
04 Oct 2024
InsActor: Instruction-driven Physics-based Characters
InsActor: Instruction-driven Physics-based Characters
Jiawei Ren
Mingyuan Zhang
Cunjun Yu
Xiao Ma
Liang Pan
Ziwei Liu
VGen
6
17
0
28 Dec 2023
MoMask: Generative Masked Modeling of 3D Human Motions
MoMask: Generative Masked Modeling of 3D Human Motions
Chuan Guo
Yuxuan Mu
Muhammad Gohar Javed
Sen Wang
Li Cheng
VGen
8
113
0
29 Nov 2023
MoDi: Unconditional Motion Synthesis from Diverse Data
MoDi: Unconditional Motion Synthesis from Diverse Data
Sigal Raab
Inbal Leibovitch
Peizhuo Li
Kfir Aberman
O. Sorkine-Hornung
Daniel Cohen-Or
DiffM
6
54
0
16 Jun 2022
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