3D Human Face Reconstruction with 3DMM face model from RGB image

ArXi:2605.03996v1 Announce Type: new Nowadays as convolution neural networks nstrate its powerful problem-solving ability in the area of image processing, efforts have been made to reconstruct detailed face shapes from 2D face images or videos. However, to make the full use of CNN, a large number of labeled data is required to train the network. Coarse morphable face model has been used to synthesize labeled data. However, it is hard for coarse morphable face models to generate photo-realistic data with detail such as wrinkles.