Physical simulations produce excellent predictions of weather effects. Neural radiance fields produce SOTA scene models. We describe a novel NeRF-editing procedure that can fuse physical simulations with NeRF models of scenes, producing realistic movies of physical phenomena inthose scenes. Our application -- Climate NeRF -- allows people to visualize what climate change outcomes will do to them. ClimateNeRF allows us to render realistic weather effects, including smog, snow, and flood. Results can be controlled with physically meaningful variables like water level. Qualitative and quantitative studies show that our simulated results are significantly more realistic than those from state-of-the-art 2D image editing and 3D NeRF stylization.

翻译：物理模拟产生极好的天气效应预测。 神经弧度场产生 SOTA 场景模型。 我们描述一个新型 NeRF 编辑程序,它能将物理模拟与NeRF 场景模型结合,产生现实的场景物理现象电影。 我们的应用程序 -- -- Climate NeRF -- -- 使人们能够想象气候变化结果会如何影响这些现象。 ClimateNERF 允许我们产生现实的天气效应,包括烟雾、雪和洪水。结果可以用水位等具有物理意义的变量来控制。 定性和定量研究表明,我们的模拟结果比最先进的 2D 图像编辑和 3D NeRF 图像编辑和 3D NeRF 系统化的结果要现实得多。