强化学习与具身智能 · CVPR2026 ·2026.06.03

InterPhys:动态场景中的物理感知人体运动合成

InterPhys: Physics-aware Human Motion Synthesis in a Dynamic Scene

Chaoyue Xing、Wei Mao、Miaomiao Liu

与你有关的部分

提出基于连续距离的力模型,把接触建模从手部扩展到任意表面(含动态物体),并用软物理约束维持力/力矩平衡;做人体-场景交互生成或物理可信动画的研究者可直接复用该力模型与约束形式。

原文依据 a novel continuous distance-based force model that generalizes contact modeling to arbitrary surfaces
可迁移到 人体运动生成人-场景交互物理仿真

摘要译文

由模型翻译 · 术语统一 · 请对照原文核对关键结论

本文研究动态场景中的物理感知人体运动合成问题。现有工作由于接触建模有限(通常局限于手部),往往生成物理上不真实的运动。为此,本文提出一个物理感知的人体运动生成框架,显式建模与人体相关的全部力,包括人-物体、人-场景以及人体内部动力学。该方法施加软物理约束以维持力与力矩平衡,从而保证运动合成具有物理依据。我们进一步提出一种新颖的基于连续距离的力模型,将接触建模推广到任意表面,不仅能捕捉与静态环境的交互,也能捕捉与动态运动物体的交互。大量实验表明,该方法显著提升了物理合理性,并能很好地泛化到复杂场景,为物理一致的人体运动生成树立了新的基准。

英文原文摘要 999 字符

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.

标签

会议 CVPR2026
页码 30729-30739
Bibkey
来源 CVF Open Access