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    • 21. 发明公开
    • Goal Driven Animation
    • US20230256339A1
    • 2023-08-17
    • US17669927
    • 2022-02-11
    • Electronic Arts Inc.
    • David WongHitoshi Nishimura
    • A63F13/57G06T7/73G06T13/00
    • A63F13/57G06T7/73G06T13/00G06T2207/20084G06T2207/30204
    • The specification relates to the generation of in-game animation data and the evaluation of in-game animations. According to a first aspect of the present disclosure, there is described a computer implemented method comprising: inputting, into one or more neural network models, input data comprising one or more current pose markers indicative of a current pose of an in-game object, one or more target markers indicative of a target pose of an in-game object and an object trajectory of the in-game object; processing, using the one or more neural networks, the input data to generate one or more intermediate pose markers indicative of an intermediate pose of the in-game object positioned between the current pose and the target pose; outputting, from the one or more neural networks, the one or more intermediate pose markers; and generating, using the one or more intermediate pose markers, an intermediate pose of the in-game object, wherein the intermediate pose of the in-game object corresponds to a pose of the in-game object at an intermediate frame of in-game animation between a current frame of in-game animation in which the in-game object is in the current pose and a target frame of in-game animation in which the in-game object is in the target pose.