Welcome to the Human Pose Estimation (HPE) Knowledge Hub, your go-to resource for learning everything about 2D and 3D pose estimation—from foundational concepts to state-of-the-art techniques.
This hub is designed to help students, researchers, and practitioners gain a deep understanding of HPE through structured tutorials, covering:
- 🏗 Core principles behind pose estimation
- 🔬 Deep learning models for 2D and 3D human pose estimation
- 📈 Advanced techniques including multi-person tracking, real-time inference, and motion modeling
- 🛠 Implementation guides for integrating HPE models into real-world applications
If you’re new to the field, start with Basic Concepts to build a strong foundation in keypoint-based representations, datasets, and evaluation metrics.
For those familiar with the basics, explore Advanced Topics to dive into multi-view pose estimation, transformer-based models, biomechanics integration, and more.
