🏃♀️ A curated list about human motion capture, analysis and synthesis.
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Updated
Jan 6, 2020
🏃♀️ A curated list about human motion capture, analysis and synthesis.
Implementation of Constructing Human Motion Manifold with Sequential Networks in PyTorch
Code and dataset of human retargeting approach to transfer motion and appearance between monocular videos. Check the examples from our dataset with several paired actors and motions!
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
[ECCV'22] Official PyTorch Implementation of "CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes"
Human motion trajectory based on the minimum jerk principle and OpenSim model for the human upper limb
Inverse kinematics with 3D human model SMPL
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
This repository contains two Gazebo plugins for simulation crowd motion: one is the classical Social Force Model and the other is the Headed Social Force Model, where also the orientation of each pedestrian is taken into account.
Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
Code for the ECCV'22 paper "Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos".
Repository using Transfer learning of Yolov8n-pose to obtain key points in pose estimation and time series generation for each video frame
Official code of [AAAI2024] Expressive Forecasting of 3D Whole-body Human Motions
[NeurIPS 2023] InsActor: Instruction-driven Physics-based Characters
Indoor radio based ray-tracing with human blockage.
[CVPR 2024] Official Implementation of "Seamless Human Motion Composition with Blended Positional Encodings".
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