The application provides a game
image generation system and method based on
artificial intelligence empowerment, converts collected multi-dimensional data into an environment state description vector; performs convolutional
feature extraction on a
reference image in the environment state description vector to obtain a style representation
tensor, fuses and reduces dimensions of the style representation
tensor to obtain a target style identification vector; performs difference measurement on
candidate image features of a candidate generated image and the target style identification vector to obtain a style difference matrix, determines a style consistency penalty term in
image generation based on the style difference matrix, and constructs a game
image generation model using the style consistency penalty term; and generates a game style image according to the game image generation model and the environment state description vector. The technical scheme provided by the application can extract a target style identification vector from multi-dimensional data flow, and construct a closed-
loop control mechanism in which a style difference measurement is used as a penalty term and fed back to a generation model, so as to realize efficient and dynamic generation of game images.