🏃♀️ A curated list about human motion capture, analysis and synthesis.
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
Reproducibility materials for reliability-aware tennis groundstroke profiling from monocular 3D human recovery
(CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
Extract and visualize gait data
CoachMe: A generative instruction model based on motion analysis for sports.
Open-source bike fitting from a 30-second phone video. Free, private, runs on your computer.
[ECCV 2026] Official implementation of "Language-Guided Transformer Tokenizer for Human Motion Generation."
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!
Official implementation of the paper "MoSa: Motion Generation with Scalable Autoregressive Modelling."
Open-source wearable badminton motion analysis with lightweight on-device machine learning.
A project that create virtual cycling simulator
Agent-first pipeline from raw drone footage to a finished film: OpenCV motion analysis, shot selection, pacing, crossfade montage, color grading, AI music and YouTube publishing assets. Built for Claude Code, works as a plain CLI too.
Python interface of C3Dserver software for reading and editing C3D motion capture files
Official implementation of AAAI 2023 Oral Paper "Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition"
Computer vision system that analyzes sports footage to provide real-time performance metrics, injury prevention insights, and tactical recommendations.
🏌️ Golf swing analysis using MediaPipe Pose & OpenCV for motion tracking, posture evaluation, and performance improvement.
The infant video dataset collected from Youtube with body parsing annotations.
To associate your repository with the motion-analysis topic, visit your repo's landing page and select "manage topics."