Motion4Motion: Cross-Character Motion Transfer
Ling-Hao Chen · hf · 2026-07-14
Motion4Motion explores transferring motion from one video to another, a crucial technique for animation and digital content creation.
Background
Previous video motion transfer methods primarily relied on predefined human skeletal structures and required skeleton-conditioned training. This introduces two major issues:
- Difficulty generalizing across different species and complex characters
- Limited annotated data for varying skeletons, restricting large-scale training
Method
Moving away from skeletal frameworks, the authors propose a training-free motion transfer method:
- Does not explicitly model skeletons
- Instead, models the character's motion flow within the video
- This facilitates easier motion transfer across cross-species characters while preserving their unique motion styles
Results
The authors note that both experimental results and novel applications demonstrate their method's clear superiority over baselines. The project page is now public.
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