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pro vyhledávání: '"Martin, Ralph"'
3D Gaussian splatting models, as a novel explicit 3D representation, have been applied in many domains recently, such as explicit geometric editing and geometry generation. Progress has been rapid. However, due to their mixed scales and cluttered sha
Externí odkaz:
http://arxiv.org/abs/2403.09143
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract The quantitative characterization and prediction of localized severe weather events that emerge as coherences generated by the highly non-linear interacting multivariate dynamics of global weather systems poses a significant challenge whose
Externí odkaz:
https://doaj.org/article/18374c23d27947fbb6806e25677d486a
Autor:
Jiabao Wang, Michael J. DeFlorio, Alexander Gershunov, Kristen Guirguis, Luca Delle Monache, F. Martin Ralph
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-12 (2024)
Abstract Extreme weather and climate events can have substantial impacts on society and the environment. Compound extremes (two or more extreme events occurring simultaneously or successively) may exert even larger impacts than individual events. Her
Externí odkaz:
https://doaj.org/article/369f5533d2754da5bb231ab33c13616b
Inspired by the success of recent vision transformers and large kernel design in convolutional neural networks (CNNs), in this paper, we analyze and explore essential reasons for their success. We claim two factors that are critical for 3D large-scal
Externí odkaz:
http://arxiv.org/abs/2301.06962