Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
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Updated
Sep 13, 2024 - Python
Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
🏃♀️ A curated list about human motion capture, analysis and synthesis.
An aggregation of human motion understanding research.
This is a repository for GraspXL, which can generate objective-drive grasping motions for 500k+ objects with different dexterous hands.
Official implementations for "Action2Motion: Conditioned Generation of 3D Human Motions (ACM MultiMedia 2020)"
Interactive Character Control with Auto-Regressive Motion Diffusion Models
[SIGGRAPH 2022] ARTEMIS, a novel neural modeling and rendering pipeline for generating ARTiculated neural pets with appEarance and Motion synthesIS.
[NeurIPS 2020] Official PyTorch Implementation of "Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis". NeurIPS 2020.
[CVPR 2025] InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation
Official repository for "MMM: Generative Masked Motion Model" (CVPR 2024 -- Highlight)
Motion Puzzle - Official PyTorch implementation
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
[ECCV 2024] Official PyTorch implement of paper "ParCo: Part-Coordinating Text-to-Motion Synthesis": http://arxiv.org/abs/2403.18512
Official repository for "BAMM: Bidirectional Autoregressive Motion Model (ECCV 2024)"
Official dataset and code for "ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling" and "MOVIN: Real-time Motion Capture using a Single LiDAR"
This is the implementation of CVPR 2025 paper "BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects". The authors include: Wanyue Zhang, Rishabh Dabral, Vladislav Golyanik, Vasileios Choutas, Eduardo Alvarado, Thabo Beeler, Marc Habermann, Christian Theobalt
Implementation of Constructing Human Motion Manifold with Sequential Networks in PyTorch
Official implementation of "Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model"
Official implementation for "MOCHA: Real-Time Motion Characterization via Context Matching" [SIGGRAPH Asia 2023]
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