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 ...
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer · Computer Science. Neural Information Processing Systems · 2019.
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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NURBS-Diff: A Differentiable Programming Module for NURBS. Publication source: CAD Computer Aided Design. 2022. (146). C. 103199. Publication authors:.
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NURBS-Diff: A Differentiable Programming Module for NURBS
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A GPU-accelerated implementation of our NURBS module in PyTorch for better integration with existing deep learning programming frameworks. 3. A gradient descent ...
Apr 29, 2021 · PreprintPDF Available. NURBS-Diff: A Differentiable NURBS ... Download file PDF Read file ... NURBS-Diff: A Differentiable Programming Module for ...
The poles are parametric critical points which are algorithmically difficult, but geometrically the poles are no different than any other point on the sphere.
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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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 ...