MeGAS: Thermomechanical Dynamic Gaussian Splatting for Thermophysical Scene Editing
2026-06-22 • Computer Vision and Pattern Recognition
Computer Vision and Pattern Recognition
AI summaryⓘ
The authors introduce MeGAS, a new method that combines temperature-driven physical changes with advanced 3D rendering techniques. Unlike previous work that only considered mechanical movement, their approach adds temperature effects like melting and solidification to make scenes look and behave more realistically. They achieve this by adding temperature data to 3D Gaussian Splatting and using a solver that models heat flow and phase changes. Their method also handles big shape changes better by improving how the scene is rendered. Tests show MeGAS creates realistic visuals that follow the rules of thermomechanics.
Newtonian dynamicsneural rendering3D Gaussian Splattingthermomechanicsphase changeheat advection-diffusionMPM dynamicsphotorealistic renderingtopology adaptationthermophysical phenomena
Authors
Zesong Yang, Yuanhang Lei, Liyuan Cui, Yihang Chen, Jiaer Huang, Boming Zhao, Peter Yichen Chen, Hujun Bao, Zhaopeng Cui
Abstract
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.