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