AI RESEARCH
HyperBones: Realtime Bone-driven Neural Garment Simulation with Hypernetwork Conditioning
arXiv CS.CV
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ArXi:2605.20460v1 Announce Type: cross Recent advances in garment simulation have brought high-quality results closer to real-time performance. Physics-based simulators can produce accurate motion, but remain too computationally expensive for interactive applications. In contrast, linear blend skinning is efficient, but cannot capture the complex dynamics of loose-fitting garments, often leading to unrealistic motion and visual artifacts. Neural methods offer a promising alternative, yet they still struggle to animate loose clothing plausibly under strict runtime constraints.