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.