Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture

26 March 2022

Papers citing "Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture"

9 / 9 papers shown

Title
ImDy: Human Inverse Dynamics from Imitated Observations Xinpeng Liu Junxuan Liang Zili Lin Haowen Hou Y. Li Cewu Lu AI4CE 34 2 0 23 Oct 2024
Decaf: Monocular Deformation Capture for Face and Hand Interactions Soshi Shimada Carlos Esteves A. Makadia Stella X. Yu 3DH CVBM 19 11 0 28 Sep 2023
Reconstructing Interacting Hands with Interaction Prior from Monocular Images Binghui Zuo Zimeng Zhao Wenqian Sun Wei Xie Zhou Xue Yangang Wang 3DH 21 15 0 27 Aug 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 25 27 0 29 May 2023
Perpetual Humanoid Control for Real-time Simulated Avatars Zhengyi Luo Jinkun Cao Alexander W. Winkler Kris M. Kitani Weipeng Xu 29 87 0 10 May 2023
Neural Monocular 3D Human Motion Capture with Physical Awareness Soshi Shimada Vladislav Golyanik Weipeng Xu P. Pérez Christian Theobalt 3DH 3DV 83 95 0 03 May 2021
Contact and Human Dynamics from Monocular Video Davis Rempe Leonidas J. Guibas Aaron Hertzmann Bryan C. Russell Ruben Villegas Jimei Yang 3DH 65 99 0 22 Jul 2020
ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills Zhaoming Xie Hung Yu Ling N. Kim M. van de Panne 109 105 0 09 May 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 145 495 0 08 Apr 2018