Apr 29, 2021 · We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define ...

The NURBS-Diff module takes as input the control points, weights, and knot vectors for a batch of NURBS surfaces. We define a parameter to control the number of ...

NURBSDiff. This repo contains code for fitting curves and surfaces to any input point cloud. Requirements and Install dependencies ...

NURBS-Diff: A Differentiable Programming Module for NURBS. Publication source: CAD Computer Aided Design. 2022. (146). C. 103199. Publication authors:.

Apr 29, 2021 · We demonstrate the efficacy of our NURBS layer by automatically incorporating it with the stochastic gradient descent algorithm and performing ...

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer · Computer Science. Neural Information Processing Systems · 2019.

NURBS-diff is a differentiable layer that can be run as a standalone layer for CAD applications like curve fitting, surface fitting, surface offseting, ...

NURBS, Non-Uniform Rational B-Splines, are mathematical representations of 3D geometry that can accurately describe any shape from a simple 2D line, circle, ...

Non-uniform rational basis spline (NURBS) is a mathematical model using basis splines (B-splines) that is commonly used in computer graphics for ...