Apr 29, 2021 · View a PDF of the paper titled NURBS-Diff: A Differentiable Programming Module for NURBS, by Anjana Deva Prasad and 5 other authors. View PDF.
We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
Missing: pdf | Show results with:pdf
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer · Computer Science. Neural Information Processing Systems · 2019.
NURBS-Diff: A Differentiable Programming Module for NURBS
nyuscholars.nyu.edu › publications › nur...
We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
Missing: pdf | Show results with:pdf
Calculus, finite differences. Interpolation, Splines, NURBS. CMSC 828 D. Least Squares, SVD, Pseudoinverse. • Ax=b A is m×n, x is n×1 and b is m×1. • A=USVt ...
NURBS-Diff: A Differentiable Programming Module for NURBS
www.sciencedirect.com › article › abs › pii
A gradient descent-based optimization framework using NURBS-Diff for performing CAD operations such as curve or surface fitting and surface offsetting. 4. The ...
Here we will look at some of the basics of B-Spline curves as well as how to create objects from NURBS surfaces using techniques such as lofting. 1 B-Spline ...
In this paper, we introduce a framework that allows NURBS subdivision curves to be defined on the sphere and ellipsoid in a multiscale manner.
A differentiable NURBS layer is proposed for evaluating the curve or surface given a set of NURBS parameters and its utility in deep learning applications ...