Abstract: Systems and methods for capturing participant likeness for a video game character are disclosed. In some embodiments, a method comprises receiving, at a pose generation system, multiple videos of one or more live events, the multiple videos recorded from a plurality of camera angles. A target participant may be identified, at the pose generation system, in the multiple videos. A set of poses may be generated, at the pose generation system, of the target participant from the multiple videos, the set of poses associated with a movement type or game stimulus. The set of poses may be received, at a model processing system, from the pose generation system. The method may further comprise generating, at the model processing system, a graphic dataset based on the set of poses, and storing, at the model processing system, the graphic dataset to assist in rendering gameplay of a video game.

Abstract: Methods for improving animation of a character in a simulation by using physics driven by muscle activation data are provided. In one aspect, a method includes detecting a first trigger for a character to perform a movement. Animation data for the character is selected based on the first trigger. A muscle state corresponding to a body part of the character is determined based on the animation data. The movement is performed based on the animation data. A second trigger for altering the movement is detected. The movement is changed based on the muscle state and the second trigger. Systems and machine-readable media are also provided.

Abstract: Systems and methods for capturing participant likeness for a video game character are disclosed. In some embodiments, a method comprises receiving, at a pose generation system, multiple videos of one or more live events, the multiple videos recorded from a plurality of camera angles. A target participant may be identified, at the pose generation system, in the multiple videos. A set of poses may be generated, at the pose generation system, of the target participant from the multiple videos, the set of poses associated with a movement type or game stimulus. The set of poses may be received, at a model processing system, from the pose generation system. The method may further comprise generating, at the model processing system, a graphic dataset based on the set of poses, and storing, at the model processing system, the graphic dataset to assist in rendering gameplay of a video game.

Abstract: The present disclosure provides embodiments of systems and methods for rendering and skinning in video game applications that utilize a modified finite elements analysis in combination with position based dynamics. Position based dynamics can be used to provide a tradeoff of accuracy for speed and stability. The resulting position based finite element process provides for rendering and skinning elements, such as character models, during real time execution of a game application. Embodiments of the position based finite element technique can provide high quality deformations with a small number of elements, and simulate those elements more efficiently than previous methods used in the art.

Abstract: Systems and methods for capturing participant likeness for a video game character are disclosed. In some embodiments, a method comprises receiving, at a pose generation system, multiple videos of one or more live events, the multiple videos recorded from a plurality of camera angles. A target participant may be identified, at the pose generation system, in the multiple videos. A set of poses may be generated, at the pose generation system, of the target participant from the multiple videos, the set of poses associated with a movement type or game stimulus. The set of poses may be received, at a model processing system, from the pose generation system. The method may further comprise generating, at the model processing system, a graphic dataset based on the set of poses, and storing, at the model processing system, the graphic dataset to assist in rendering gameplay of a video game.