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A Neural-Network-Based Approach for Loose-Fitting Clothing
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
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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