1 code implementation • 27 Feb 2024 • Deshan Gong, Ningtao Mao, He Wang
To learn from small data, we propose a new Bayesian differentiable cloth model to estimate the complex material heterogeneity of real cloths.
1 code implementation • ICLR 2022 • Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang
To this end, we propose several differentiable forces, whose counterparts in empirical physics are indifferentiable, to facilitate gradient-based learning.
