Abstract: This application disclose a video processing method performed by a computer device. The method includes: obtaining a bone rotation and translation matrix of an object in a first video frame of a target video, predicting positions of the M vertices in a second video frame of the target video subsequent to the first video frame by using a bone weight matrix of the object and the bone rotation and translation matrix, to obtain predicted positions of the M vertices; alternatively updating the bone weight matrix and the bone rotation and translation matrix based on a difference between real positions of the M vertices in the second video frame and the predicted positions of the M vertices, to obtain a target bone weight matrix; and restoring the target video based on the target bone weight matrix and the bone rotation and translation matrix of the object in the target video.

Abstract: A data processing method, performed by a data processing device, includes: obtaining first graph data of a target object, the first graph data including at least one first mesh data sub-graph including vertexes, wherein each of the at least one first mesh data sub-graph are connected to each other; obtaining smoothness degree data of the vertexes; obtaining second graph data by performing smoothing processing on the first graph data based on the smoothness degree data, the smoothing processing including simplifying a structure of the target object; and determining target weight data based on the second graph data, wherein the target weight data indicates an association degree between one or more joints of the target object and the vertexes.

Abstract: Embodiments of this application relate to the field of artificial intelligence technologies, and in particular, to an information processing method, an information processing apparatus, a computer readable storage medium, and an electronic device. The information processing method includes: determining, by a device, a subject in a game scenario, and acquiring an action model used for controlling the subject to execute a game action; performing, by the device, feature extraction on the game scenario to obtain model game state information related to the subject; performing, by the device, mapping processing on the model game state information by using the action model, to obtain model game action selection information corresponding to at least two candidate game actions; and selecting, by the device according to the model game action selection information, a model game action for the subject from the at least two candidate game actions.

Abstract: A skinning method includes: acquiring a 3D mesh for skinning of a skeletal structure of a 3D object, the 3D mesh including a plurality of vertices and the skeletal structure including a plurality of joints; respectively acquiring global joint weight information corresponding to the plurality of vertices, the global joint weight information of a vertex including associated joints of the vertices predicted based on the 3D mesh, and joint weight values of the associated joints; determining a target vertex to be locally predicted from the vertices of the 3D mesh based on the global joint weight information; performing a local prediction based on a vertex feature of the target vertex to obtain local joint weight information of the target vertex; and optimizing global joint weight information of the target vertex based on the local joint weight information for skinning of the 3D object using the optimized joint weight information.

Abstract: Embodiments of this application relate to the field of artificial intelligence technologies, and in particular, to an information processing method, an information processing apparatus, a computer readable storage medium, and an electronic device. The information processing method includes: determining, by a device, a subject in a game scenario, and acquiring an action model used for controlling the subject to execute a game action; performing, by the device, feature extraction on the game scenario to obtain model game state information related to the subject; performing, by the device, mapping processing on the model game state information by using the action model, to obtain model game action selection information corresponding to at least two candidate game actions; and selecting, by the device according to the model game action selection information, a model game action for the subject from the at least two candidate game actions.