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公开(公告)号：US20250095172A1
公开(公告)日：2025-03-20
申请号：US18369958
申请日：2023-09-19
Applicant: Adobe Inc.
Inventor： Sanjeev Muralikrishnan , Chun-Hao Huang , Duygu Ceylan Aksit , Niloy J. Mitra
Abstract: In some examples, a computing system access a set of registered three-dimensional (3D) digital shapes. The set of registered 3D digital shapes are registered to a shape template. The computing system determines a linear model for an estimate of the shape space using a first subset of the set of registered 3D digital shapes. The computing system then determines a nonlinear deformation model for the shape space using a second subset of the set of registered 3D digital shapes. An unregistered shape can be registered to the shape space using the linear model and the nonlinear deformation model. The registration can be added to the set of registered 3D digital shapes to update the estimate of the shape space if a shape distance between the registration and the unregistered shape is below a threshold value.
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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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