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Branch-Centric Tokenization and Test-Time Augmentation for Skeleton Generation

arXiv · AI, language, vision and robotics · article · Sep 5, 2026 · UTC

Automatic skeleton generation involves predicting both joint positions and skeletal connectivity. However, existing approaches struggle to encode branch structures into token sequences and do not use test-time computation effectively. We study these choices within a unified autoregressive framework. First, we introduce branch-centric tokenization, a branch-aware representation that places structurally related elements next to each other and encodes connectivity directly in the sequence. Compared with standard BFS-style serialization, this representation yields more compact sequences. Second, w

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