Image fusion generation type face changing method based on face reconstruction

Abstract

The invention discloses an image fusion generation type face changing method based on face reconstruction. The method comprises the following steps: 1) selecting a plurality of face images for preprocessing, obtaining a plurality of preprocessed face images, and forming a training set; 2) constructing a generative face replacement network; 3) inputting the training set into the generative face replacement network for training until the generative face replacement network converges, and obtaining a trained generative face replacement network; and 4) inputting a source face image to be replaced and a target face image into the trained generative face replacement network, and outputting to obtain a face replacement image. According to the method, the problem of texture mismatching in the face changing process is effectively solved, skin texture refined generation of three-dimensional face reconstruction is realized, so that the similarity and reality of face changing are effectively improved, and a high-quality face changing image is obtained.

Description

technical field [0001] The invention relates to a neural network-based face-changing method in the field of human face synthesis of computer vision, in particular to an image fusion generative face-changing method based on human face reconstruction. Background technique [0002] As a medium of identity information, face images are widely used in industries such as medical care, education, science, and culture. This also increases the risk of personal privacy leakage. The method of replacing the face in the image to protect the privacy and security of the people came into being. In computer vision, this method is known as face replacement. In addition, face replacement is often used to automate the replacement of actors in film and television dramas, liberating labor and quickly producing videos. To sum up, face replacement is of great significance to protecting the privacy and security of the public and promoting the development of the film and television industry. [00...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems existing in the technical background, the present invention proposes an image fusion generative face-changing method based on face reconstruction, which realizes the complementary advantages of the face-changing method based on 3D face reconstruction and generative confrontation network, and effectively solves the problem of The problem of face-changing texture mismatch in the field of face synthesis effectively improves the similarity and realism of face-changing

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