Multi-branch deep learning-based 3D face reconstruction model training method and system, and medium

The invention discloses a 3D face reconstruction model training method and system based on multi-branch deep learning, and a medium. The method comprises the following steps: inputting a first face image into a face recognition network and a face alignment network to obtain first identity information and first key point position information; determining first face geometrical shape information according to the first identity information, and inputting the first identity information and the first key point position information into an expression recognition network to obtain first face expression information; inputting the first key point position information, the first face geometrical shape information and the first face expression information into a generative adversarial network to obtain a first rendered image; and updating network parameters of the face recognition network, the face alignment network, the expression recognition network and the generative adversarial network according to the first rendere