Zimo He

2 accepted papers

2026

MotionMaster: Generalizable Text-Driven Motion Generation and Editing

Nan Jiang, Yunhao Li, Lexi Pang, Zimo He, Siyuan Huang, Yixin Zhu

CVPR 2026

Synthesizing realistic human motion from natural language holds transformative potential for animation, robotics, and virtual reality. Recent methods handle single-action sequences and simple textual instructions, yet multi-action compositions and precise editing remain elusive due to limited data d

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2025

Dynamic Motion Blending for Versatile Motion Editing

Nan Jiang, Hongjie Li, Ziye Yuan, Zimo He, Yixin Chen, Tengyu Liu +2

CVPR 2025poster

Text-guided motion editing enables high-level semantic control and iterative modifications beyond traditional keyframe animation. Existing methods rely on limited pre-collected training triplets (original motion, edited motion, and instruction), which severely hinders their versatility in diverse ed…

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