公开(公告)号：US20220156415A1

公开(公告)日：2022-05-19

申请号：US17523725

申请日：2021-11-10

Applicant: AUTODESK, INC.

Inventor： Peter MELTZER ,  Amir Hosein KHAS AHMADI ,  Pradeep Kumar JAYARAMAN ,  Joseph George LAMBOURNE ,  Aditya SANGHI ,  Hooman SHAYANI

IPC: G06F30/10

Abstract: In various embodiments, a style comparison metric application generates a style comparison metric for pairs of different three dimensional (3D) computer-aided design (CAD) objects. In operation, the style comparison metric application executes a trained neural network any number of times to map 3D CAD objects to feature maps. Based on the feature maps, the style comparison metric application computes style signals. The style comparison metric application determines values for weights based on the style signals. The style comparison metric application generates the style comparison metric based on the weights and a parameterized style comparison metric.

公开(公告)号：US20250139926A1

公开(公告)日：2025-05-01

申请号：US19005915

申请日：2024-12-30

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.

公开(公告)号：US20230326159A1

公开(公告)日：2023-10-12

申请号：US18149609

申请日：2023-01-03

Applicant: AUTODESK, INC.

Inventor： Hooman SHAYANI ,  Marco FUMERO ,  Aditya SANGHI

IPC: G06T19/20 ,  G06T17/00 ,  G06N3/08 ,  G06N3/0455

CPC classification number: G06T19/20 ,  G06T17/00 ,  G06N3/08 ,  G06N3/0455 ,  G06T2219/2024 ,  G06T2210/56 ,  G06T2219/2021

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.

公开(公告)号：US20220318947A1

公开(公告)日：2022-10-06

申请号：US17374722

申请日：2021-07-13

Applicant: AUTODESK, INC.

Inventor： Thomas Ryan DAVIES ,  Alexander Ray CARLSON ,  Aditya SANGHI ,  Tarkeshwar Kumar SHAH ,  Divya SIVASANKARAN ,  Anup Bhalchandra WALVEKAR ,  Ran ZHANG

IPC: G06T3/40

Abstract: One embodiment of the present invention sets forth a technique for adding dimensions to a target drawing. The technique includes generating a first set of node embeddings for a first set of nodes included in a target graph that represents the target drawing. The technique also includes receiving a second set of node embeddings for a second set of nodes included in a source graph that represents a source drawing, where one or more nodes included in the second set of nodes are associated with one or more source dimensions included in the source drawing. The technique further includes generating a set of mappings between the first and second sets of nodes based similarities between the first set of node embeddings and the second set of node embeddings, and automatically placing the one or more source dimensions within the target drawing based on the set of mappings.

公开(公告)号：US20220156416A1

公开(公告)日：2022-05-19

申请号：US17523746

申请日：2021-11-10

Applicant: AUTODESK, INC.

Inventor： Peter MELTZER ,  Amir Hosein KHAS AHMADI ,  Pradeep Kumar JAYARAMAN ,  Joseph George LAMBOURNE ,  Aditya SANGHI ,  Hooman SHAYANI

IPC: G06F30/10

Abstract: In various embodiments, a style comparison application compares geometric styles of different three dimensional (3D) computer-aided design (CAD) objects. In operation, the style comparison application executes a trained neural network one or more times to map 3D CAD objects to feature map sets. The style comparison application computes a first set of style signals based on a first feature set included in the feature map sets. The style comparison application computes a second set of style signals based on a second feature set included in the feature map sets. Based on the first set of style signals and the second set of style signals, the style comparison application determines a value for a style comparison metric. The value for the style comparison metric quantifies a similarity or a dissimilarity in geometric style between a first 3D CAD object and a second 3D CAD object.