AI RESEARCH
AtomicMotion: Learning Human Motion From Different Human Parts
arXiv CS.CV
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ArXi:2605.22631v1 Announce Type: new Accurately reconstructing full-body poses from sparse head and hand trajectories is a foundational challenge for immersive AR/VR telepresence. Current methods often struggle with error accumulation and unnatural joint coordination, primarily because they treat the human body as a monolithic entity, thereby failing to capture the fine-grained ``atomic intents'' embedded in subtle signal variations and overlooking the inherent structural topology.