Poseless-3B
Property | Value |
---|---|
Base Architecture | Qwen 2.5 3B Instruct |
License | Apache-2.0 |
Paper | arxiv.org/abs/2503.07111 |
Authors | Menlo Research Team |
What is Poseless-3B?
Poseless-3B represents a groundbreaking approach to hand pose estimation that eliminates the traditional requirement for explicit pose estimation. Built on the Qwen 2.5 3B Instruct architecture, this model directly maps 2D images to joint angles using an innovative projected representation approach, making it particularly valuable for robotics and computer vision applications.
Implementation Details
The model leverages a sophisticated synthetic data pipeline that generates training examples through randomized joint configurations and domain-randomized visual features. It processes monocular images and outputs precise joint angles in radians, represented in XML format for 24 different joint positions.
- Direct image-to-joint angle mapping without intermediate pose estimation
- Zero-shot generalization capabilities for real-world scenarios
- Cross-morphology transfer between robotic and human hands
- Synthetic data training pipeline for robust performance
Core Capabilities
- Depth-free vision-to-joint control
- Real-time joint angle prediction
- Robust performance across varying lighting and textures
- Efficient processing of monocular images
- XML-formatted output for 24 joint positions
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to bypass traditional pose estimation pipelines while achieving accurate joint angle predictions makes it unique. It's the first of its kind to demonstrate successful depth-free control and cross-morphology generalization between robotic and human hands.
Q: What are the recommended use cases?
The model is ideal for robotic hand control applications, human-robot interaction systems, and any scenario requiring real-time hand pose estimation without depth sensors. It's particularly valuable in environments where traditional depth-based systems might be impractical or too expensive.