MeGAS: Thermomechanical Dynamic Gaussian Splatting for Thermophysical Scene Editing
This work addresses the lack of temperature-driven physics in neural rendering, enabling thermophysical scene editing for graphics and simulation applications.
MeGAS integrates thermomechanical phase-change dynamics into 3D Gaussian Splatting, enabling physically plausible synthesis of phenomena like melting and solidification while maintaining high-fidelity rendering. Experiments show physically consistent thermomechanical behavior with photorealistic quality.
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.