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公开(公告)号:US10916054B2
公开(公告)日:2021-02-09
申请号:US16184149
申请日:2018-11-08
Applicant: Adobe Inc.
Inventor: Duygu Ceylan Aksit , Weiyue Wang , Radomir Mech
Abstract: Techniques are disclosed for deforming a 3D source mesh to resemble a target object representation which may be a 2D image or another 3D mesh. A methodology implementing the techniques according to an embodiment includes extracting a set of one or more source features from a source 3D mesh. The source 3D mesh includes a plurality of source points representing a source object, and the extracting of the set of source features is independent of an ordering of the source points. The method also includes extracting a set of one or more target features from the target object representation, and decoding a concatenation of the set of source features and the set of target features to predict vertex offsets for application to the source 3D mesh to generate a deformed 3D mesh based on the target object. The feature extractions and the vertex offset predictions may employ Deep Neural Networks.
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公开(公告)号:US20200151952A1
公开(公告)日:2020-05-14
申请号:US16184149
申请日:2018-11-08
Applicant: Adobe Inc.
Inventor: Duygu Ceylan Aksit , Weiyue Wang , Radomir Mech
Abstract: Techniques are disclosed for deforming a 3D source mesh to resemble a target object representation which may be a 2D image or another 3D mesh. A methodology implementing the techniques according to an embodiment includes extracting a set of one or more source features from a source 3D mesh. The source 3D mesh includes a plurality of source points representing a source object, and the extracting of the set of source features is independent of an ordering of the source points. The method also includes extracting a set of one or more target features from the target object representation, and decoding a concatenation of the set of source features and the set of target features to predict vertex offsets for application to the source 3D mesh to generate a deformed 3D mesh based on the target object. The feature extractions and the vertex offset predictions may employ Deep Neural Networks.
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