Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model

20 October 2020

Papers citing "Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model"

8 / 8 papers shown

Title
Diverse Motion In-betweening with Dual Posture Stitching Tianxiang Ren Jubo Yu Shihui Guo Ying Ma Yutao Ouyang Zi-Xin Zeng Yazhan Zhang Yipeng Qin VGen DiffM 23 2 0 25 Mar 2023
Representing motion as a sequence of latent primitives, a flexible approach for human motion modelling Mathieu Marsot Stefanie Wuhrer Jean-Sébastien Franco Anne Hélene Olivier 25 2 0 27 Jun 2022
MoDi: Unconditional Motion Synthesis from Diverse Data Sigal Raab Inbal Leibovitch Peizhuo Li Kfir Aberman O. Sorkine-Hornung Daniel Cohen-Or DiffM 19 54 0 16 Jun 2022
Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure A. Aristidou Anastasios Yiannakidis Kfir Aberman Daniel Cohen-Or Ariel Shamir Y. Chrysanthou 30 73 0 23 Nov 2021
A structured latent space for human body motion generation Mathieu Marsot Stefanie Wuhrer Jean-Sébastien Franco Stephane Durocher 3DH 21 8 0 07 Jun 2021
HuMoR: 3D Human Motion Model for Robust Pose Estimation Davis Rempe Tolga Birdal Aaron Hertzmann Jimei Yang Srinath Sridhar Leonidas J. Guibas 3DH 25 310 0 10 May 2021
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction Wenjie Yin Hang Yin Danica Kragic Mårten Björkman 3DH 13 15 0 07 Apr 2021
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 175 495 0 08 Apr 2018