Let it Snow! Animating Static Gaussian Scenes With Dynamic Weather Effects

• URL: http://arxiv.org/abs/2504.05296v1
• Date: Mon, 07 Apr 2025 17:51:21 GMT
• Title: Let it Snow! Animating Static Gaussian Scenes With Dynamic Weather Effects
• Authors: Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim,
• Abstract summary: 3D Gaussian Splatting has recently enabled fast and photorealistic reconstruction of static 3D scenes.<n>We present a novel framework that combines Gaussian-particle representations for incorporating physically-based global weather effects into static scenes.<n>Our approach supports a variety of weather effects, including snowfall, rainfall, fog, and sandstorms, and can also support falling objects.
• Score: 25.126055173812187
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 3D Gaussian Splatting has recently enabled fast and photorealistic reconstruction of static 3D scenes. However, introducing dynamic elements that interact naturally with such static scenes remains challenging. Accordingly, we present a novel hybrid framework that combines Gaussian-particle representations for incorporating physically-based global weather effects into static 3D Gaussian Splatting scenes, correctly handling the interactions of dynamic elements with the static scene. We follow a three-stage process: we first map static 3D Gaussians to a particle-based representation. We then introduce dynamic particles and simulate their motion using the Material Point Method (MPM). Finally, we map the simulated particles back to the Gaussian domain while introducing appearance parameters tailored for specific effects. To correctly handle the interactions of dynamic elements with the static scene, we introduce specialized collision handling techniques. Our approach supports a variety of weather effects, including snowfall, rainfall, fog, and sandstorms, and can also support falling objects, all with physically plausible motion and appearance. Experiments demonstrate that our method significantly outperforms existing approaches in both visual quality and physical realism.

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