Half-Physics: Enabling Kinematic 3D Human Model with Physical Interactions
Li Siyao, Yao Feng, Omid Taheri, Chen Change Loy, Michael J. Black

TL;DR
This paper introduces a learning-free 'half-physics' method that enables 3D human models like SMPL-X to physically interact with environments in real time, maintaining pose fidelity and avoiding interpenetration.
Contribution
It presents a novel half-physics mechanism that embeds kinematic models into physics simulations, allowing realistic interactions without extensive training.
Findings
Eliminates interpenetration issues in 3D human-environment interactions.
Operates in real time with generalization across shapes and motions.
Preserves original kinematic pose fidelity during interactions.
Abstract
While current general-purpose 3D human models (e.g., SMPL-X) efficiently represent accurate human shape and pose, they lacks the ability to physically interact with the environment due to the kinematic nature. As a result, kinematic-based interaction models often suffer from issues such as interpenetration and unrealistic object dynamics. To address this limitation, we introduce a novel approach that embeds SMPL-X into a tangible entity capable of dynamic physical interactions with its surroundings. Specifically, we propose a "half-physics" mechanism that transforms 3D kinematic motion into a physics simulation. Our approach maintains kinematic control over inherent SMPL-X poses while ensuring physically plausible interactions with scenes and objects, effectively eliminating penetration and unrealistic object dynamics. Unlike reinforcement learning-based methods, which demand extensive…
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Taxonomy
TopicsComputer Graphics and Visualization Techniques · Context-Aware Activity Recognition Systems · Parallel Computing and Optimization Techniques
