Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users

13 September 2022

Papers citing "Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users"

6 / 6 papers shown

Title
DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization J. L. Pontón Eduard Pujol A. Aristidou Carlos Andújar N. Pelechano 33 1 0 29 Apr 2024
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part Lei Hu Zihao Zhang Chongyang Zhong Boyuan Jiang Shi-hong Xia 22 6 0 13 Jun 2023
QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors Sunmin Lee Sebastian Starke Yuting Ye Jungdam Won Alexander W. Winkler 6 32 0 09 Jun 2023
Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions Jungnam Park M. Park Jehee Lee Jungdam Won 3DH 15 5 0 07 Jun 2023
LoBSTr: Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals Dongseok Yang Doyeon Kim Sung-Hee Lee 3DH 30 59 0 02 Mar 2021
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 137 495 0 08 Apr 2018