MeGAS: 用于热物理场景编辑的热力学动态高斯泼溅
MeGAS: Thermomechanical Dynamic Gaussian Splatting for Thermophysical Scene Editing
AI总结：
提出MeGAS框架，将热力学相变动力学融入3D高斯泼溅，通过温度属性、热对流-扩散求解器和MPM动力学实现热物理现象的物理真实合成，并采用拓扑自适应渲染策略处理极端变形。
摘要：
最近的进展将基于物理的牛顿动力学与神经渲染框架相结合，缩小了逼真场景重建与基于物理的动画之间的差距。然而，现有方法侧重于机械驱动的动力学，而忽略了温度——这一基础但不可见的物理因素，它是熔化、凝固及其他热力学过程背后的原因。在本文中，我们提出了MeGAS，一个将热力学相变动力学融入3D高斯泼溅（3DGS）的新框架。具体来说，我们提出了一种新的热力学动态高斯泼溅表示，通过温度属性增强3DGS，并采用结合相变的热对流-扩散求解器与MPM动力学，实现热物理现象的物理合理且视觉逼真的合成。此外，提出了一种新的拓扑自适应高斯渲染策略，以减轻极端变形下的开裂和漂浮物。大量实验表明，MeGAS在保持高保真逼真渲染的同时，产生物理一致的热力学行为，推动了物理集成世界模型的发展。
英文摘要：
Recent advances integrate physically grounded Newtonian dynamics with neural rendering frameworks, narrowing the gap between photorealistic scene reconstruction and physics-based animation. However, existing approaches focus on mechanically driven dynamics while neglecting temperature, a fundamental yet invisible physical factor underlying phenomena such as melting, solidification, and other thermomechanical processes. In this paper, we propose MeGAS, a novel framework that incorporates thermomechanical phase-change dynamics into 3D Gaussian Splatting (3DGS). Specifically, we propose a new thermomechanical dynamic Gaussian Splatting representation that augments 3DGS with temperature attributes and employs a heat advection-diffusion solver with MPM dynamics incorporating phase transitions, enabling physically plausible and visually realistic synthesis of thermophysical phenomena. Furthermore, a new topology-adaptive Gaussian rendering strategy is proposed to mitigate cracking and floaters under extreme deformation. Extensive experiments demonstrate that MeGAS produces physically consistent thermomechanical behavior while maintaining high-fidelity photorealistic rendering, advancing toward physics-integrated world models.
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