April 29, 2024, 4:42 a.m. | Yongxu Jin, Dalton Omens, Zhenglin Geng, Joseph Teran, Abishek Kumar, Kenji Tashiro, Ronald Fedkiw

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.16896v1 Announce Type: cross
Abstract: Since loose-fitting clothing contains dynamic modes that have proven to be difficult to predict via neural networks, we first illustrate how to coarsely approximate these modes with a real-time numerical algorithm specifically designed to mimic the most important ballistic features of a classical numerical simulation. Although there is some flexibility in the choice of the numerical algorithm used as a proxy for full simulation, it is essential that the stability and accuracy be independent from …

abstract algorithm arxiv clothing cs.gr cs.lg dynamic features network networks neural networks numerical real-time simulation type via

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