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公开(公告)号：US11551038B2
公开(公告)日：2023-01-10
申请号：US16459420
申请日：2019-07-01
Applicant: Adobe Inc.
Inventor： Siddhartha Chaudhuri , Vladimir Kim , Matthew Fisher , Sanjeev Muralikrishnan
Abstract: Techniques are described herein for generating and using a unified shape representation that encompasses features of different types of shape representations. In some embodiments, the unified shape representation is a unicode comprising a vector of embeddings and values for the embeddings. The embedding values are inferred, using a neural network that has been trained on different types of shape representations, based on a first representation of a three-dimensional (3D) shape. The first representation is received as input to the trained neural network and corresponds to a first type of shape representation. At least one embedding has a value dependent on a feature provided by a second type of shape representation and not provided by the first type of shape representation. The value of the at least one embedding is inferred based upon the first representation and in the absence of the second type of shape representation for the 3D shape.
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公开(公告)号：US20210004645A1
公开(公告)日：2021-01-07
申请号：US16459420
申请日：2019-07-01
Applicant: Adobe Inc.
Inventor： Siddhartha Chaudhuri , Vladimir Kim , Matthew Fisher , Sanjeev Muralikrishnan
Abstract: Techniques are described herein for generating and using a unified shape representation that encompasses features of different types of shape representations. In some embodiments, the unified shape representation is a unicode comprising a vector of embeddings and values for the embeddings. The embedding values are inferred, using a neural network that has been trained on different types of shape representations, based on a first representation of a three-dimensional (3D) shape. The first representation is received as input to the trained neural network and corresponds to a first type of shape representation. At least one embedding has a value dependent on a feature provided by a second type of shape representation and not provided by the first type of shape representation. The value of the at least one embedding is inferred based upon the first representation and in the absence of the second type of shape representation for the 3D shape.
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Patent Agency Ranking
公开(公告)号：US11694416B2
公开(公告)日：2023-07-04
申请号：US17208627
申请日：2021-03-22
Applicant: ADOBE INC.
Inventor： Duygu Ceylan Aksit , Vladimir Kim , Siddhartha Chaudhuri , Radomir Mech , Noam Aigerman , Kevin Wampler , Jonathan Eisenmann , Giorgio Gori , Emiliano Gambaretto
IPC: G06T15/00 , G06T19/20 , G06F3/04815 , G06F3/04845
CPC classification number: G06T19/20 , G06F3/04815 , G06F3/04845 , G06T2200/24 , G06T2219/2016
Abstract: Embodiments of the present invention are directed towards intuitive editing of three-dimensional models. In embodiments, salient geometric features associated with a three-dimensional model defining an object are identified. Thereafter, feature attributes associated with the salient geometric features are identified. A feature set including a plurality of salient geometric features related to one another is generated based on the determined feature attributes (e.g., properties, relationships, distances). An editing handle can then be generated and displayed for the feature set enabling each of the salient geometric features within the feature set to be edited in accordance with a manipulation of the editing handle. The editing handle can be displayed in association with one of the salient geometric features of the feature set.
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公开(公告)号：US11257290B2
公开(公告)日：2022-02-22
申请号：US16863099
申请日：2020-04-30
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Siddhartha Chaudhuri , Noam Aigerman , Hsueh-ti Liu , Alec Jacobson
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for iteratively decimating a three-dimensional mesh utilizing successive self-parameterization. For example, the disclosed system can self-parameterize local geometries of a three-dimensional mesh using surface mappings within a two-dimensional surface mapping space. The disclosed system can collapse edges in the three-dimensional mesh to create new vertices from the collapsed edges. The disclosed system can parameterize the collapsed edges based on the surface mappings to collapse corresponding edges within the surface mapping space. The disclosed system can thus generate a decimated three-dimensional mesh by collapsing edges in the three-dimensional mesh while providing a bijective map between points in the decimated three-dimensional mesh and corresponding points in the three-dimensional mesh.
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公开(公告)号：US20210343082A1
公开(公告)日：2021-11-04
申请号：US16863099
申请日：2020-04-30
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Siddhartha Chaudhuri , Noam Aigerman , Hsueh-ti Liu , Alec Jacobson
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for iteratively decimating a three-dimensional mesh utilizing successive self-parameterization. For example, the disclosed system can self-parameterize local geometries of a three-dimensional mesh using surface mappings within a two-dimensional surface mapping space. The disclosed system can collapse edges in the three-dimensional mesh to create new vertices from the collapsed edges. The disclosed system can parameterize the collapsed edges based on the surface mappings to collapse corresponding edges within the surface mapping space. The disclosed system can thus generate a decimated three-dimensional mesh by collapsing edges in the three-dimensional mesh while providing a bijective map between points in the decimated three-dimensional mesh and corresponding points in the three-dimensional mesh.
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公开(公告)号：US20210343080A1
公开(公告)日：2021-11-04
申请号：US16863189
申请日：2020-04-30
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Siddhartha Chaudhuri , Noam Aigerman , Hsueh-ti Liu , Alec Jacobson
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing one or more neural networks to recursively subdivide a three-dimensional mesh according to local geometries of vertices in the three-dimensional mesh. For example, the disclosed system can determine a local geometry (e.g., a one-ring neighborhood of half-flaps) for each vertex in a three-dimensional mesh. For each subdivision iteration, the disclosed system can then utilize a neural network to determine displacement coordinates for existing vertices in the three-dimensional mesh and coordinates for new vertices added to edges between the existing vertices in the three-dimensional mesh in accordance with the local geometries of the existing vertices. Furthermore, the disclosed system can generate a subdivided three-dimensional mesh based on the determined displacement coordinates for the existing vertices and the determined coordinates for the new vertices.
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公开(公告)号：US10957117B2
公开(公告)日：2021-03-23
申请号：US16204980
申请日：2018-11-29
Applicant: ADOBE INC.
Inventor： Duygu Ceylan Aksit , Vladimir Kim , Siddhartha Chaudhuri , Radomir Mech , Noam Aigerman , Kevin Wampler , Jonathan Eisenmann , Giorgio Gori , Emiliano Gambaretto
IPC: G06T15/00 , G06T19/20 , G06F3/0481 , G06F3/0484
Abstract: Embodiments of the present invention are directed towards intuitive editing of three-dimensional models. In embodiments, salient geometric features associated with a three-dimensional model defining an object are identified. Thereafter, feature attributes associated with the salient geometric features are identified. A feature set including a plurality of salient geometric features related to one another is generated based on the determined feature attributes (e.g., properties, relationships, distances). An editing handle can then be generated and displayed for the feature set enabling each of the salient geometric features within the feature set to be edited in accordance with a manipulation of the editing handle. The editing handle can be displayed in association with one of the salient geometric features of the feature set.
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