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Portrait super-resolution reconstruction method and device, model training method and device, electronic equipment and readable storage medium

A super-resolution reconstruction and super-resolution technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve the problem that the image is difficult to meet the actual needs, so as to achieve super-resolution reconstruction and improve recognition Effect

Pending Publication Date: 2022-04-08
GUANGZHOU HUYA TECH CO LTD
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AI Technical Summary

Problems solved by technology

However, currently in the process of image super-resolution reconstruction, the usual method is to reconstruct the entire image. This method does not focus on the information that is more important to human perception, which makes it difficult to obtain reconstructed images. meet actual needs

Method used

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  • Portrait super-resolution reconstruction method and device, model training method and device, electronic equipment and readable storage medium
  • Portrait super-resolution reconstruction method and device, model training method and device, electronic equipment and readable storage medium
  • Portrait super-resolution reconstruction method and device, model training method and device, electronic equipment and readable storage medium

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Embodiment approach

[0147] In the case of adding a discriminator to the reconstruction model to form an adversarial network, the training and adjustment of the generation network can be added to the relevant discriminative properties of the discriminator. Therefore, in a possible implementation, please refer to Figure 9 , the above step S240 may include the following sub-steps:

[0148] Step S241', inputting the output image to the trained discriminator to obtain discriminant information;

[0149] Step S242', comparing the output image and the target sample to obtain a comparison result;

[0150] Step S243', according to the discrimination information and the comparison result, adjust the network parameters of the generation network and continue training until the first preset condition is met to obtain a reconstructed model.

[0151] In this embodiment, in the case of adding a discriminator, the loss function can be constructed in the following manner, and the reconstruction model training can...

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Abstract

The invention provides a portrait super-resolution reconstruction method and device, a model training method and device, electronic equipment and a readable storage medium, and the method comprises the steps: carrying out the key point detection of a to-be-processed image through a pre-constructed reconstruction model, and obtaining face key points; and performing super-resolution reconstruction processing according to the face key points and image features obtained based on the to-be-processed image to obtain image high-frequency information, and performing restoration processing on the to-be-processed image by using the image high-frequency information to obtain a super-resolution image corresponding to the to-be-processed image. According to the method and the device, the face key point detection and the face recovery are combined, the super-resolution reconstruction of the image is realized, the cognition degree of the obtained super-resolution image is improved, and the requirement of a user in practical application is met.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular, to a super-resolution reconstruction method for portraits, a model training method, a device, electronic equipment, and a readable storage medium. Background technique [0002] Image super-resolution reconstruction, or image super-resolution restoration, refers to the process of restoring a high-resolution image from a low-resolution image or image sequence. Image super-resolution reconstruction technology is widely used in many fields such as face recognition, big data analysis, security, etc., and is of great help to realize portrait restoration, portrait recognition, matching, etc. However, currently in the process of image super-resolution reconstruction, the usual method is to reconstruct the entire image. This method does not focus on the information that is more important to human perception, which makes it difficult to obtain reconstructed images. meet a...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00G06V40/16
Inventor 侯剑堃
Owner GUANGZHOU HUYA TECH CO LTD
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