Apr 29, 2021 · We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define ...
We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
NURBS-Diff: A Differentiable Programming Module for NURBS. Publication source: CAD Computer Aided Design. 2022. (146). C. 103199. Publication authors:.
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer · Computer Science. Neural Information Processing Systems · 2019.
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NURBSDiff. This repo contains code for fitting curves and surfaces to any input point cloud. Requirements and Install dependencies. Dependencies. Pytorch ...
In this work, we generalize CAS elements to remove shear and membrane locking from quadratic NURBS‐based discretizations of linear plane curved Timoshenko rods.
We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
Dive into the research topics of 'NURBS-Diff: A Differentiable Programming Module for NURBS'. Together they form a unique fingerprint. Sort by; Weight ...
Jan 17, 2022 · Boundary representations (B-reps) using Non-Uniform Rational B-splines (NURBS) are the de facto standard used in CAD, but their utility in ...
Dec 28, 2023 · We have proposed a new differentiable programming module, “THB-Diff”, which is the extension of the “NURBS-Diff” package (see Fig. 1). With the ...