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- We mathematically define the derivatives of the NURBS curves or surfaces with respect to the input parameters (control points, weights, and the knot vector). These derivatives are used to define an approximate Jacobian used for performing the “backward” evaluation to train the deep learning models.www.sciencedirect.com/science/article/pii/S0010448522000045
NURBS-Diff: A Differentiable Programming Module for NURBS
See results only from sciencedirect.comNURBS-Diff
We mathematically define the derivatives of the NURBS curves or surfaces with …
Computing The Derivative of …
The derivatives of NURBS with respect to the weights are found in (Piegl and …
A Comparative Assessmen…
A barrage constructed more than 80 years ago prevents seawater intrusion to Lake …
NURBS-Diff: A Differentiable Programming Module for NURBS
NURBS-Diff: A Differentiable Programming Module for NURBS
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning …
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B-Splines and NURBS
NURBS-Diff: A Differentiable Programming Module for NURBS
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