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InterPhys: Physics-aware Human Motion Synthesis in a Dynamic Scene
May 01, 2026 ยท Grace Period ยท ๐ CVPR2026
Authors
Chaoyue Xing, Wei Mao, Miaomiao Liu
arXiv ID
2605.01036
Category
cs.CV: Computer Vision
Citations
0
Venue
CVPR2026
Abstract
This paper tackles the problem of physics-aware human motion synthesis in a dynamic scene. Unlike existing works which mainly tend to generate physically unrealistic motions due to limited contact modeling, typically restricted to hands, in this paper, we introduce a physics-aware human motion generation framework that explicitly models the full spectrum of human-related forces, including human-object, human-scene, and internal body dynamics.~Our method imposes soft physical constraints to maintain force and torque balance, ensuring physically grounded motion synthesis. We further propose a novel continuous distance-based force model that generalizes contact modeling to arbitrary surfaces, capturing interactions not only with static environments but also with dynamic, moving objects. Extensive experiments show that our approach significantly improves physical plausibility and generalizes well to complex scenes, setting a new benchmark for physically consistent human motion generation.
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