Branch-Centric Tokenization and Test-Time Augmentation for Skeleton Generation
This work improves automatic skeleton generation by using branch-centric tokenization and view-augmented generation. Branch-centric tokenization creates a structure-aware sequence representation, while test-time augmentation uses multiple views and consensus scoring to handle orientation ambiguity in input meshes. The unified framework achieves state-of-the-art accuracy across diverse inputs.