Algorithmic approach to finding correspondence between graphical elements

    公开(公告)号:US11182905B2

    公开(公告)日:2021-11-23

    申请号:US16825583

    申请日:2020-03-20

    Applicant: Adobe Inc.

    Abstract: Introduced here are computer programs and associated computer-implemented techniques for finding the correspondence between sets of graphical elements that share a similar structure. In contrast to conventional approaches, this approach can leverage the similar structure to discover how two sets of graphical elements are related to one another without the relationship needing to be explicitly specified. To accomplish this, a graphics editing platform can employ one or more algorithms designed to encode the structure of graphical elements using a directed graph and then compute element-to-element correspondence between different sets of graphical elements that share a similar structure.

    POSE SELECTION AND ANIMATION OF CHARACTERS USING VIDEO DATA AND TRAINING TECHNIQUES

    公开(公告)号:US20210158593A1

    公开(公告)日:2021-05-27

    申请号:US16692471

    申请日:2019-11-22

    Abstract: This disclosure generally relates to character animation. More specifically, but not by way of limitation, this disclosure relates to pose selection using data analytics techniques applied to training data, and generating 2D animations of illustrated characters using performance data and the selected poses. An example process or system includes obtaining a selection of training poses of the subject and a set of character poses, obtaining a performance video of the subject, wherein the performance video includes a plurality of performance frames that include poses performed by the subject, grouping the plurality of performance frames into groups of performance frames, assigning a selected training pose from the selection of training poses to each group of performance frames using the clusters of training frames, generating a sequence of character poses based on the groups of performance frames and their assigned training poses, outputting the sequence of character poses.

    POSE SELECTION AND ANIMATION OF CHARACTERS USING VIDEO DATA AND TRAINING TECHNIQUES

    公开(公告)号:US20210158565A1

    公开(公告)日:2021-05-27

    申请号:US16692450

    申请日:2019-11-22

    Abstract: This disclosure generally relates to character animation. More specifically, this disclosure relates to pose selection using data analytics techniques applied to training data, and generating 2D animations of illustrated characters using performance data and the selected poses. An example process or system includes extracting sets of joint positions from a training video including the subject, grouping the plurality of frames into frame groups using the sets of joint positions for each frame, identifying a representative frame for each frame group using the frame groups, clustering the frame groups into clusters using the representative frames, outputting a visualization of the clusters at a user interface, and receiving a selection of a cluster for animation of the subject.

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