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New CIME framework enhances text-driven 3D human motion editing

Researchers have developed a new framework called Change and Invariance Motion Editing (CIME) to improve text-driven 3D human motion editing. CIME addresses the limitations of existing diffusion-based methods, which struggle to balance responsiveness to text instructions with the preservation of original motion structure. The framework decouples these aspects into spatial pose and temporal rhythm dimensions, employing novel techniques for each. Experiments on the MotionFix and STANCE Adjustment datasets show CIME achieving state-of-the-art results in editing alignment and structural fidelity. AI

IMPACT This framework could lead to more realistic and controllable AI-generated human animations for various applications.

RANK_REASON The cluster describes a new research paper detailing a novel framework for 3D human motion editing.

Read on Hugging Face Daily Papers →

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New CIME framework enhances text-driven 3D human motion editing

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The cluster describes a new research paper detailing a novel framework for 3D human motion editing.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Spatial Temporal Synergy: Balancing Change and Invariance in Text Driven 3D Human Motion Editing

    Text-driven human motion editing aims to modify existing motion sequences according to natural language instructions while maintaining the structural consistency of the original motion. Existing diffusion-based approaches struggle to balance text-responsive "change" and inertial …

  2. arXiv cs.CV TIER_1 English(EN) · Shaohui Lin, Zhenwu Shi, Jingyu Gong, Jiao Xie, Yu Zhou, Baochang Zhang, Lizhuang Ma, Chia-Wen Lin ·

    Spatial Temporal Synergy: Balancing Change and Invariance in Text Driven 3D Human Motion Editing

    arXiv:2608.16008v1 Announce Type: new Abstract: Text-driven human motion editing aims to modify existing motion sequences according to natural language instructions while maintaining the structural consistency of the original motion. Existing diffusion-based approaches struggle t…