MAS-PNCG accelerates IPC by incrementally updating multilevel MAS preconditioners via Sparse-Input Woodbury, adding Hessian-aware 2D subspace minimization and per-subdomain CCD, achieving up to 5.66x speedup over Newton-PCG baselines.
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LoBoFit refits high-resolution garments to new avatars with large shape and pose differences by blending local bone mappings, preserving wrinkles and fit style better than prior global optimization or data-driven methods.
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An Efficient Multilevel Preconditioned Nonlinear Conjugate Gradient Method for Incremental Potential Contact
MAS-PNCG accelerates IPC by incrementally updating multilevel MAS preconditioners via Sparse-Input Woodbury, adding Hessian-aware 2D subspace minimization and per-subdomain CCD, achieving up to 5.66x speedup over Newton-PCG baselines.
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LoBoFit: Flexible Garment Refitting via Local Bone Mapping Blending
LoBoFit refits high-resolution garments to new avatars with large shape and pose differences by blending local bone mappings, preserving wrinkles and fit style better than prior global optimization or data-driven methods.