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  1. arXiv.org
    https://arxiv.org/pdf/2104.14547.pdf
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    NURBS-Diff: A Differentiable Programming Module for NURBS - arXiv.org

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    anjanadev96/NURBS_Diff - Github
    github.com
    GitHub - StandardCyborg/nurbs: Non-Uniform Rational B …
    github.com
    NURBS curve made easy - CodeProject
    codeproject.com
    NURBS-Python v5.x Documentation — NURBS-Python …
    nurbs-python.readthedo…
    An Introduction to NURBS | ScienceDirect
    sciencedirect.com
    Example of NURBS curve: a 2D curve with five control …
    researchgate.net
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  2. arXiv.org
    https://arxiv.org/abs/2104.14547

    NURBS-Diff: A Differentiable Programming Module for NURBS

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    GitHub - idealab-isu/NURBSDiff: Torch layer for NURBS …
    github.com
    NURBS Toolbox by D.M. Spink - File Exchange - MATLAB …
    mathworks.com
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  3. ScienceDirect
    https://www.sciencedirect.com/science/article/pii/S0010448522000045

    NURBS-Diff: A Differentiable Programming Module for NURBS

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    [2104.14547v1] NURBS-Diff: A Differentiable NURBS …
    arxiv.org
    NURBS-Diff: A Differentiable NURBS Layer for Machine …
    researchgate.net
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  4. Studies of differentiable nurbs module pdf
    arXiv.org
    NURBS-Diff: A Differentiable Programming Module for NURBS
    Boundary representations (B-reps) using Non-Uniform Rational B-splines (NURBS) are the de facto standard used in CAD, but their utility in deep learning-based approaches is not well researched. We propose a differentiable NURBS module to integrate
    Author: Prasad, Anjan…
    Published: 2021/04/29
    Cite As: arXiv:2104.14…
    ScienceDirect
    NURBS-Diff: A Differentiable Programming Module for NURBS
    Boundary representations (B-reps) using Non-Uniform Rational B-splines (NURBS) are the de facto standard used in CAD, but their utility in deep learning-based approaches is not well researched. We propose a differentiable NURBS module to integrate
    Published: 2022/05/01
    Cited By: 0
    Keywords: Differentiab…
    ScienceDirect
    NURBS-Diff: A Differentiable Programming Module for NURBS
    Boundary representations (B-reps) using Non-Uniform Rational B-splines (NURBS) are the de facto standard used in CAD, but their utility in deep learning-based approaches is not well researched. We propose a differentiable NURBS module to integrate
    Published: 2022/05/01
    Cited By: 12
    DOI: 10.1016/j.cad.202…
    ResearchGate
    NURBS-Diff: A Differentiable Programming Module for NURBS
    Boundary representations (B-reps) using Non-Uniform Rational B-splines (NURBS) are the de facto standard used in CAD, but their utility in deep learning-based approaches is not well researched. We propose a differentiable NURBS module to integrate
    Author: Anjana Deva P…
    Published: 2022/01/17
    DOI: 10.1016/j.cad.202…
    ResearchGate
    NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications
    Recent deep-learning-based techniques for the reconstruction of geometries from different input representations such as images and point clouds have been instrumental in advancing research in geometric machine learning. Most of these techniques rely on
    Author: Anjana Deva P…
    Published: 2021/04/29
  5. ScienceDirect
    https://www.sciencedirect.com/science/article/abs/...

    NURBS-Diff: A Differentiable Programming Module for NURBS

  6. NSF Public Access
    https://par.nsf.gov/servlets/purl/10394594
    [PDF]

    Computer-AidedDesign NURBS …

  7. Semantic Scholar
    https://www.semanticscholar.org/paper/NURBS-Diff:-A...

    [PDF] NURBS-Diff: A Differentiable Programming Module for …

  8. People also ask
    What is a differentiable NURBS module?
    Formally, using the differentiable programming approach explained above, we formulate a differentiable NURBS (“NURBS-Diff”) module, which enables deep learning frameworks to integrate NURBS-based rep-resentation of B-Rep surfaces and perform CAD operations using them.

    NURBS-Diff: A Differentiable Programming Module for NURBS - arXiv.…

    arxiv.org
    What are the differentiable CAD applications using the NURBS-diff module?
    4. CAD applications using the NURBS-Diff module The differentiable programming approach explained above is designed mainly for deep learning applications. However, we can also use the framework for standard CAD operations, such as curve fitting, surface fitting, and surface offsetting.

    NURBS-Diff: A Differentiable Programming Module for NURBS

    sciencedirect.com
    How can NURBS be integrated with existing machine learning frameworks?
    We have developed a differentiable NURBS module that can be directly integrated with existing machine learning frameworks. We have developed a mathematical framework that enables both forward evaluation and backpropagation of the losses while training.

    NURBS-Diff: A Differentiable Programming Module for NURBS - arXiv.…

    arxiv.org
    How accurate is the NURBS-diff module approach for Offset surfaces?
    To compare the accuracy of our NURBS-Diff module approach for offset surfaces, we computed a simpler offset by offsetting the control points along the average normal direction of the control mesh. This approach works well for surfaces with low curvature.

    NURBS-Diff: A Differentiable Programming Module for NURBS - arXiv.…

    arxiv.org
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