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title
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2026-02-18 03:15:47
raw text
ClimateNeRF ClimateNeRF : Extreme Weather Synthesis in Neural Radiance Field ICCV 2023 Yuan Li 1,2* Zhi-Hao Lin 1* David Forsyth 1 Jia-Bin Huang 3 Shenlong Wang 1 1 University of Illinois at Urbana-Champaign 2 Zhejiang University 3 University of Maryland, College Park * Equal Contribution Paper Code Abstract 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 in those 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 meaningf...
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