Omni-Supervised Motion Editing: Balancing Change and Invariance through Positive-Negative Learning 事件

Omni-Supervised Motion Editing: Balancing Change and Invariance through Positive-Negative Learning arXiv:2605.30969v1 Announce Type: new Abstract: Text-based human motion editing aims to modify existing motion sequences according to natural language instructions while maintaining the consistency of the original motion. Existing diffusion-based approaches often rely on heuristic similarity cues or coarse global conditioning, leading to motion distortion and suboptimal semantic alignment. The key