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Apr 29, 2021 · We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define ...
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We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
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We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
Apr 29, 2021 · We demonstrate the efficacy of our NURBS layer by automatically incorporating it with the stochastic gradient descent algorithm and performing ...
We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
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 ...
We propose a differentiable NURBS module to integrate NURBS representations of CAD models with deep learning methods. We mathematically define the derivatives ...
NURBS-diff is a differentiable layer that can be run as a standalone layer for CAD applications like curve fitting, surface fitting, surface offseting, ...
Apr 29, 2021 · In order to integrate the NURBS representation of CAD models with deep learning methods, we propose a differentiable NURBS layer for evaluating ...
NURBS-Diff: A Differentiable Programming Module for NURBS ... Deep Learning (opens in a new tab)Computer-aided ... study of degree reduction for ball NURBS curves.