PartMotionEdit: Fine-Grained Text-Driven 3D Human Motion Editing
Analysis
This paper addresses the limitations of existing text-driven 3D human motion editing methods, which struggle with precise, part-specific control. PartMotionEdit introduces a novel framework using part-level semantic modulation to achieve fine-grained editing. The core innovation is the Part-aware Motion Modulation (PMM) module, which allows for interpretable editing of local motions. The paper also introduces a part-level similarity curve supervision mechanism and a Bidirectional Motion Interaction (BMI) module to improve performance. The results demonstrate improved performance compared to existing methods.
Key Takeaways
- •Proposes a novel framework for fine-grained text-driven 3D human motion editing.
- •Introduces a Part-aware Motion Modulation (PMM) module for part-specific motion control.
- •Employs a part-level similarity curve supervision mechanism and a Bidirectional Motion Interaction (BMI) module.
- •Demonstrates superior performance compared to state-of-the-art methods.
“The core of PartMotionEdit is a Part-aware Motion Modulation (PMM) module, which builds upon a predefined five-part body decomposition.”