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 ...
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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. 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 ...
This work tackles the problem of the geometric design optimization from an in- novative point of view. The developed methodology considers directly the ...
NURBS rendering, NURBS evaluation, Bezier evaluation ... NURBS surfaces are evaluated using three different ... using triangle edges and then normalize its module.
This paper presents a new method to evaluate and display trimmed. NURBS surfaces using the Graphics Processing Unit (GPU). Trimmed NURBS surfaces, the de ...
Sep 17, 2022 · PDF | This paper presents a method to design a linear state feedback controller with time-varying parameters for the differential-drive ...