The invention provides a high-
simulation virtual human generation method and
system, and aims to gradually take a low-order virtual human as a generation source of a higher-order virtual human and carry out
iterative approximation from basic image data. The technology comprises the following steps: firstly, obtaining a 2D image: step A, generating a virtual
human head skeleton model file for preliminary three-dimensional face reconstruction, and then connecting the virtual
human head skeleton model file to a body model bound with skeletons; b, training a neural
network model for replacing the face in real time; in the step C, on one hand, the preliminary model generated in the step A is controlled through a program to realize changing actions, mouth shapes and expressions, and on the other hand, a low-order virtual human operation window is converted into
virtual camera input to serve as video source input; and then performing real-time replacement with a higher
simulation degree on the face by using the real-time replacement neural
network model trained in the step B for the face so as to drive and form a virtual human with a higher
simulation degree.