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ClimateNeRF: Physically-based Neural Rendering for Extreme Climate Synthesis. (arXiv:2211.13226v1 [cs.CV])
Nov. 24, 2022, 7:17 a.m. | Yuan Li, Zhi-Hao Lin, David Forsyth, Jia-Bin Huang, Shenlong Wang
cs.CV updates on arXiv.org arxiv.org
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 …
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