公开(公告)号：US20200258301A1

公开(公告)日：2020-08-13

申请号：US16862301

申请日：2020-04-29

Applicant: Adobe Inc.

Inventor： Duygu Ceylan ,  Daichi Ito

IPC: G06T17/20 ,  G06T15/04 ,  G06T3/00 ,  G06T1/00 ,  G06T7/90 ,  G06T7/13

Abstract: The present disclosure is directed toward systems and methods that facilitate scanning an object (e.g., a three-dimensional object) having custom mesh lines thereon and generating a three-dimensional mesh of the object. For example, a three-dimensional modeling system receives a scan of the object including depth information and a two-dimensional texture map of the object. The three-dimensional modeling system further generates an edge map for the two-dimensional texture map and modifies the edge map to generate a two-dimensional mesh including edges, vertices, and faces that correspond to the custom mesh lines on the object. Based on the two-dimensional mesh and the depth information from the scan, the three-dimensional modeling system generates a three-dimensional model of the object.

公开(公告)号：US10679408B2

公开(公告)日：2020-06-09

申请号：US15423348

申请日：2017-02-02

Applicant: Adobe Inc.

Inventor： Duygu Ceylan ,  Daichi Ito

IPC: G06T17/20 ,  G06T7/13 ,  G06T7/90 ,  G06T3/00 ,  G06T15/04 ,  G06T1/00

Abstract: The present disclosure is directed toward systems and methods that facilitate scanning an object (e.g., a three-dimensional object) having custom mesh lines thereon and generating a three-dimensional mesh of the object. For example, a three-dimensional modeling system receives a scan of the object including depth information and a two-dimensional texture map of the object. The three-dimensional modeling system further generates an edge map for the two-dimensional texture map and modifies the edge map to generate a two-dimensional mesh including edges, vertices, and faces that correspond to the custom mesh lines on the object. Based on the two-dimensional mesh and the depth information from the scan, the three-dimensional modeling system generates a three-dimensional model of the object.

公开(公告)号：US10380317B2

公开(公告)日：2019-08-13

申请号：US15063183

申请日：2016-03-07

Applicant: Adobe Inc.

Inventor： Duygu Ceylan ,  Byungmoon Kim ,  Aron Monszpart ,  Vladimir Kim ,  Niloy Mitra

IPC: G06F17/50

Abstract: Methods and systems for generating digital models from objects. In particular, one or more embodiments determine a plurality of correspondences for first and second components of an object. One or more embodiments estimate a joint connecting the first and second components based on the correspondences. One or more embodiments jointly determine a global transformation and one or more joint parameters that map the plurality of components of the object from the first digital scan to the second digital scan. One or more embodiments also updating the correspondences based on the determined global transformation and parameter(s). One or more embodiments re-estimate the joint based on the updated correspondences. One or more embodiments select a candidate joint with a lowest error estimate from a plurality of candidate joints according to determined global transformations and joint parameter(s) for the candidate joints.

公开(公告)号：US10546408B2

公开(公告)日：2020-01-28

申请号：US15926787

申请日：2018-03-20

Applicant: Adobe Inc.

Inventor： Jimei Yang ,  Duygu Ceylan ,  Ruben Villegas

IPC: G06T15/00 ,  G06T13/40 ,  G06N3/04 ,  G06N3/08

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that use a motion synthesis neural network with a forward kinematics layer to generate a motion sequence for a target skeleton based on an initial motion sequence for an initial skeleton. In certain embodiments, the methods, non-transitory computer readable media, and systems use a motion synthesis neural network comprising an encoder recurrent neural network, a decoder recurrent neural network, and a forward kinematics layer to retarget motion sequences. To train the motion synthesis neural network to retarget such motion sequences, in some implementations, the disclosed methods, non-transitory computer readable media, and systems modify parameters of the motion synthesis neural network based on one or both of an adversarial loss and a cycle consistency loss.

公开(公告)号：US20190295305A1

公开(公告)日：2019-09-26

申请号：US15926787

申请日：2018-03-20

Applicant: Adobe Inc.

Inventor： Jimei Yang ,  Duygu Ceylan ,  Ruben Villegas

IPC: G06T13/40 ,  G06N3/04 ,  G06N3/08

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that use a motion synthesis neural network with a forward kinematics layer to generate a motion sequence for a target skeleton based on an initial motion sequence for an initial skeleton. In certain embodiments, the methods, non-transitory computer readable media, and systems use a motion synthesis neural network comprising an encoder recurrent neural network, a decoder recurrent neural network, and a forward kinematics layer to retarget motion sequences. To train the motion synthesis neural network to retarget such motion sequences, in some implementations, the disclosed methods, non-transitory computer readable media, and systems modify parameters of the motion synthesis neural network based on one or both of an adversarial loss and a cycle consistency loss.

公开(公告)号：US10861232B2

公开(公告)日：2020-12-08

申请号：US16862301

申请日：2020-04-29

Applicant: Adobe Inc.

Inventor： Duygu Ceylan ,  Daichi Ito

IPC: G06T17/20 ,  G06T15/04 ,  G06T3/00 ,  G06T1/00 ,  G06T7/13 ,  G06T7/90

Abstract: The present disclosure is directed toward systems and methods that facilitate scanning an object (e.g., a three-dimensional object) having custom mesh lines thereon and generating a three-dimensional mesh of the object. For example, a three-dimensional modeling system receives a scan of the object including depth information and a two-dimensional texture map of the object. The three-dimensional modeling system further generates an edge map for the two-dimensional texture map and modifies the edge map to generate a two-dimensional mesh including edges, vertices, and faces that correspond to the custom mesh lines on the object. Based on the two-dimensional mesh and the depth information from the scan, the three-dimensional modeling system generates a three-dimensional model of the object.

公开(公告)号：US20190180495A1

公开(公告)日：2019-06-13

申请号：US16273938

申请日：2019-02-12

Applicant: ADOBE INC.

Inventor： Duygu Ceylan ,  Nathan Aaron Carr

IPC: G06T15/04 ,  G06T11/00

Abstract: Embodiments of the present invention are directed towards compactly incorporating texture charts into a texture atlas. Texture charts represent three-dimensional mesh segments flattened into two-dimensional shapes. In one embodiment, a texture atlas generating engine is used to generate and evaluate compactness scores of candidate placements for a texture chart. Candidate placements generally refer to the possible locations where a texture chart can be incorporated into a texture atlas. The compactness score can be based on minimizing the distance between a texture chart being incorporated into the texture atlas and the center of mass of previously incorporated texture charts within a texture atlas. In embodiments, an infinity norm can be utilized to compute such a compactness score by outputting an average length of vectors between a texture chart being incorporated into a texture atlas and the texture atlas. Other embodiments may be described and/or claimed.