Face image correction method based on decoupling expression learning generative adversarial network
A face image and network technology, applied in the field of face image conversion, to achieve the effect of fast convergence, good effect, and strong generalization ability
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[0045] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0046] The present invention learns a set of highly complex non-linear transformations through a face image conversion method based on decoupling expression learning generative confrontation network, which is used to transform the pose of the face image into an angle while maintaining a good texture and identity traits.
[0047] Such as figure 1As shown, the face image correction method based on decoupled expression learning generative confrontation network, including steps:
[0048] In step S1, preprocessing is performed on the face images in the Multi-PIE face dataset.
[0049] First, the original high-resolution face image is cropped in a unified alignment and cropping method, a...
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