2 results about "Face hallucination" patented technology

The application discloses a non-aligned face image super-resolution method based on a layered structure perception space conversion network, and comprises the following steps: performing random angle rotation, face region cutting and size adjustment on a public face dataset, constructing a non-aligned low-resolution face / aligned high-resolution face image pair dataset, and dividing a training set and a test set; constructing a non-aligned face image super-resolution model based on a layered structure perception space conversion network; training the non-aligned face image super-resolution model based on the layered structure perception space conversion network on the training set; and performing super-resolution on non-aligned low-resolution face images in the test set. The non-aligned face image super-resolution model constructed by the application can overcome the problems of structure distortion and details accompanying artificial artifacts of a generated face image under the influence of a non-aligned factor in an existing face super-resolution method, so that the application can reconstruct an aligned and high-fidelity high-resolution face image.

The application discloses a kind of based on multi-level supervision attention mechanism super network and random erasing data enhancement's occluded face image super resolution method, comprising: face region cutting, random erasing face content and size adjustment are carried out to public face dataset, construct low-resolution occluded face / high-resolution unoccluded face image pair dataset, and multiple data enhancements are carried out to training set;Multi-level supervision attention mechanism face image super resolution network based on face structure priori guide is constructed;Multi-level supervision attention mechanism face image super resolution network based on face structure priori guide is trained on training set;Low-resolution occluded face image in test set is carried out super resolution.This application overcomes the existing face super resolution method in processing accompanying occlusion input low-resolution face image when result image structure distortion, the problem of detail accompanying artificial artifact, can reconstruct structure complete, accurate, high-resolution face image with high fidelity.