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Motion2Motion:基於稀疏對應的跨拓撲運動遷移

Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence

August 18, 2025
作者: Ling-Hao Chen, Yuhong Zhang, Zixin Yin, Zhiyang Dou, Xin Chen, Jingbo Wang, Taku Komura, Lei Zhang
cs.AI

摘要

本研究探討了在骨骼拓撲結構顯著不同的角色之間進行動畫轉移的挑戰。儘管數十年來許多技術已推動了動畫重定向的進步,但在多樣化拓撲結構之間轉移動作仍屬較少探索的領域。主要障礙在於源骨骼與目標骨骼之間固有的拓撲不一致性,這限制了直接建立一對一骨骼對應關係的可能性。此外,目前缺乏跨越不同拓撲結構的大規模配對動作數據集,嚴重制約了數據驅動方法的發展。為解決這些限制,我們提出了Motion2Motion,一種新穎的、無需訓練的框架。Motion2Motion簡潔而高效,僅需目標骨骼上的一個或少數幾個示例動作,通過訪問源骨骼與目標骨骼之間的一組稀疏骨骼對應關係即可工作。通過全面的質性和量化評估,我們證明Motion2Motion在相似骨骼和跨物種骨骼轉移場景中均能實現高效可靠的性能。我們的方法在實際應用中的實用性進一步體現在其成功整合於下游應用和用戶界面中,凸顯了其在工業應用中的潛力。代碼和數據可在https://lhchen.top/Motion2Motion獲取。
English
This work studies the challenge of transfer animations between characters whose skeletal topologies differ substantially. While many techniques have advanced retargeting techniques in decades, transfer motions across diverse topologies remains less-explored. The primary obstacle lies in the inherent topological inconsistency between source and target skeletons, which restricts the establishment of straightforward one-to-one bone correspondences. Besides, the current lack of large-scale paired motion datasets spanning different topological structures severely constrains the development of data-driven approaches. To address these limitations, we introduce Motion2Motion, a novel, training-free framework. Simply yet effectively, Motion2Motion works with only one or a few example motions on the target skeleton, by accessing a sparse set of bone correspondences between the source and target skeletons. Through comprehensive qualitative and quantitative evaluations, we demonstrate that Motion2Motion achieves efficient and reliable performance in both similar-skeleton and cross-species skeleton transfer scenarios. The practical utility of our approach is further evidenced by its successful integration in downstream applications and user interfaces, highlighting its potential for industrial applications. Code and data are available at https://lhchen.top/Motion2Motion.
PDF21August 20, 2025