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    Techniques for generating stylized quad-meshes from tri-meshes
    1.
    发明授权
    Techniques for generating stylized quad-meshes from tri-meshes 有权

    公开(公告)号：US11176741B2

    公开(公告)日：2021-11-16

    申请号：US16536241

    申请日：2019-08-08

    Applicant: AUTODESK, INC.

    Inventor： Hooman Shayani ,  Mark Thomas Davis ,  Andriy Banadyha ,  Stephen Barley

    IPC: G06T17/20 ,  G06T19/20 ,  G06F30/23 ,  G06F119/18

    Abstract: In various embodiments, a stylization subsystem automatically modifies a three-dimensional (3D) object design. In operation, the stylization subsystem generates a simplified quad mesh based on an input triangle mesh that represents the 3D object design, a preferred orientation associated with at least a portion of the input triangle mesh, and mesh complexity constraint(s). The stylization subsystem then converts the simplified quad mesh to a simplified T-spline. Subsequently, the stylization subsystem creases one or more of edges included in the simplified T-spline to generate a stylized T-spline. Notably, the stylized T-spline represents a stylized design that is more convergent with the preferred orientation(s) than the 3D object design. Advantageously, relative to prior art approaches, the stylization subsystem can more efficiently modify the 3D object design to improve overall aesthetics and manufacturability.

    3D GEOMETRY GENERATION FOR COMPUTER AIDED DESIGN CONSIDERING SUBTRACTIVE MANUFACTURING FORCES
    2.
    发明申请
    3D GEOMETRY GENERATION FOR COMPUTER AIDED DESIGN CONSIDERING SUBTRACTIVE MANUFACTURING FORCES 审中-公开

    公开(公告)号：US20200265122A1

    公开(公告)日：2020-08-20

    申请号：US16279765

    申请日：2019-02-19

    Applicant: Autodesk, Inc.

    Inventor： Martin Raymond Razzell ,  Luke Edwards ,  Nathan David Rogers ,  Hooman Shayani

    IPC: G06F17/50 ,  B22F3/105 ,  B29C64/393 ,  B33Y50/02 ,  G06T17/00

    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures include, in at least one aspect, a method including: obtaining a design space for a modeled object, load cases for physical simulation, and design criteria, wherein the modeled object includes specified geometry with which generatively designed geometry will connect, and wherein the load cases include at least one in-use load case for the physical structure and at least one subtractive-manufacturing load case associated with the specified geometry and with a subtractive manufacturing system; producing the generatively designed geometry in the design space for the modelled object in accordance with the load cases for physical simulation of the modelled object and the design criteria for the modeled object; and providing the modeled object with the generatively designed geometry for use in manufacturing the physical structure.

    Training machine learning models to perform neural style transfer in three-dimensional shapes
    3.
    发明授权
    Training machine learning models to perform neural style transfer in three-dimensional shapes 有权

    公开(公告)号：US12182958B2

    公开(公告)日：2024-12-31

    申请号：US18149605

    申请日：2023-01-03

    Applicant: AUTODESK, INC.

    Inventor： Hooman Shayani ,  Marco Fumero ,  Aditya Sanghi

    IPC: G06T19/20 ,  G06N3/0455 ,  G06N3/0475 ,  G06N3/08 ,  G06N3/092 ,  G06T17/00 ,  G06T17/10

    Abstract: One embodiment of the present invention sets forth a technique for training a machine learning model to perform style transfer. The technique includes applying one or more augmentations to a first input three-dimensional (3D) shape to generate a second input 3D shape. The technique also includes generating, via a first set of neural network layers, a style code based on a first latent representation of the first input 3D shape and a second latent representation of the second input 3D shape. The technique further includes generating, via a second set of neural network layers, a first output 3D shape based on the style code and the second latent representation, and performing one or more operations on the first and second sets of neural network layers based on a first loss associated with the first output 3D shape to generate a trained machine learning model.

    Neural style transfer in three-dimensional shapes
    4.
    发明授权
    Neural style transfer in three-dimensional shapes 有权

    公开(公告)号：US12182957B2

    公开(公告)日：2024-12-31

    申请号：US18149601

    申请日：2023-01-03

    Applicant: AUTODESK, INC.

    Inventor： Hooman Shayani ,  Marco Fumero ,  Aditya Sanghi

    IPC: G06T19/20 ,  G06N3/0455 ,  G06N3/0475 ,  G06N3/08 ,  G06N3/092 ,  G06T17/00 ,  G06T17/10

    Abstract: One embodiment of the present invention sets forth a technique for performing style transfer. The technique includes generating an input shape representation that includes a plurality of points near a surface of an input three-dimensional (3D) shape, where the input 3D shape includes content-based attributes associated with an object. The technique also includes determining a style code based on a difference between a first latent representation of a first 3D shape and a second latent representation of a second 3D shape, where the second 3D shape is generated by applying one or more augmentations to the first 3D shape. The technique further includes generating, based on the input shape representation and style code, an output 3D shape having the content-based attributes of the input 3D shape and style-based attributes associated with the style code, and generating a 3D model of the object based on the output 3D shape.

    METHODS AND SYSTEMS FOR GENERATING LATTICE RECOMMENDATIONS IN COMPUTER-AIDED DESIGN APPLICATIONS
    6.
    发明公开
    METHODS AND SYSTEMS FOR GENERATING LATTICE RECOMMENDATIONS IN COMPUTER-AIDED DESIGN APPLICATIONS 审中-公开

    公开(公告)号：US20230237219A1

    公开(公告)日：2023-07-27

    申请号：US18128770

    申请日：2023-03-30

    Applicant: Autodesk, Inc.

    Inventor： Konara Mudiyanselage Kosala Bandara ,  Hooman Shayani

    IPC: G06F30/20

    CPC classification number: G06F30/20 ,  G06T17/00

    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for designing three dimensional lattice structures include, in one aspect, a method including: obtaining a mechanical problem definition including a 3D model of an object; generating a numerical simulation model for the 3D model of the object using one or more loading cases and one or more isotropic solid materials identified as a baseline material model for a design space; predicting performance of different lattice settings in different orientations in the design space using a lattice structural behavior model in place of the baseline material model in the numerical simulation model; and presenting a set of lattice proposals for the design space based on the predicted performance of the different lattice settings in the different orientations; wherein the lattice structural behavior model has been precomputed for the different lattice settings, which are generable by the 3D modeling program.

    Techniques for generating stylized quad-meshes from tri-meshes
    7.
    发明授权
    Techniques for generating stylized quad-meshes from tri-meshes 有权

    公开(公告)号：US11663779B2

    公开(公告)日：2023-05-30

    申请号：US17526877

    申请日：2021-11-15

    Applicant: AUTODESK, INC.

    Inventor： Hooman Shayani ,  Mark Thomas Davis ,  Andriy Banadyha ,  Stephen Barley

    IPC: G06T17/20 ,  G06F30/23 ,  G06T19/20 ,  G06F119/18

    CPC classification number: G06T17/205 ,  G06F30/23 ,  G06T19/20 ,  G06F2119/18 ,  G06T2219/2024

    Abstract: In various embodiments, a stylization subsystem automatically modifies a three-dimensional (3D) object design. In operation, the stylization subsystem generates a simplified quad mesh based on an input triangle mesh that represents the 3D object design, a preferred orientation associated with at least a portion of the input triangle mesh, and mesh complexity constraint(s). The stylization subsystem then converts the simplified quad mesh to a simplified T-spline. Subsequently, the stylization subsystem creases one or more of edges included in the simplified T-spline to generate a stylized T-spline. Notably, the stylized T-spline represents a stylized design that is more convergent with the preferred orientation(s) than the 3D object design. Advantageously, relative to prior art approaches, the stylization subsystem can more efficiently modify the 3D object design to improve overall aesthetics and manufacturability.

    Generating styles for neural style transfer in three-dimensional shapes
    8.
    发明授权
    Generating styles for neural style transfer in three-dimensional shapes 有权

    公开(公告)号：US12223611B2

    公开(公告)日：2025-02-11

    申请号：US18149609

    申请日：2023-01-03

    Applicant: AUTODESK, INC.

    Inventor： Hooman Shayani ,  Marco Fumero ,  Aditya Sanghi

    IPC: G06T19/20 ,  G06N3/0455 ,  G06N3/0475 ,  G06N3/08 ,  G06N3/092 ,  G06T17/00 ,  G06T17/10

    Abstract: One embodiment of the present invention sets forth a technique for performing style transfer. The technique includes determining a distribution associated with a plurality of style codes for a plurality of three-dimensional (3D) shapes, where each style code included in the plurality of style codes represents a difference between a first 3D shape and a second 3D shape, and where the second 3D shape is generated by applying one or more augmentations to the first 3D shape. The technique also includes sampling from the distribution to generate an additional style code and executing a trained machine learning model based on the additional style code to generate an output 3D shape having style-based attributes associated with the additional style code and content-based attributes associated with an object. The technique further includes generating a 3D model of the object based on the output 3D shape.

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