Mean shift interacting particle systems generate weighted samples approximating expectations under unnormalized densities by minimizing MMD through normalizing-constant-invariant dynamics.
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Sampling-Based Retargeter (SBR) delivers lower-jitter real-time kinematic hand retargeting and higher task success with less operator fatigue than gradient-based baselines in an 18-person study.
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To discretize continually: Mean shift interacting particle systems for Bayesian inference
Mean shift interacting particle systems generate weighted samples approximating expectations under unnormalized densities by minimizing MMD through normalizing-constant-invariant dynamics.
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Smooth Operator: A Real-Time Sampling-Based Algorithm for Kinematic Hand Retargeting
Sampling-Based Retargeter (SBR) delivers lower-jitter real-time kinematic hand retargeting and higher task success with less operator fatigue than gradient-based baselines in an 18-person study.