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Face image processing model training method and device, electronic equipment and medium

An image processing and model training technology, applied in the computer field, can solve the problem of low processing quality in local areas, and achieve the effect of improving processing quality

Pending Publication Date: 2021-03-09
BEIJING ZITIAO NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, local regions (e.g. teeth regions) are not processed with high quality when inpainting corrupted images containing face regions

Method used

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  • Face image processing model training method and device, electronic equipment and medium
  • Face image processing model training method and device, electronic equipment and medium
  • Face image processing model training method and device, electronic equipment and medium

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Embodiment Construction

[0016] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these examples are provided so that the understanding of this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

[0017] It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings. In the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.

[0018] It should be noted that conc...

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Abstract

The embodiment of the invention discloses a face image processing model training method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the steps of obtaining a training sample set; selecting a training sample set from the training sample set, wherein the ratio of the number of the face images of the target part displayed in the training sample set to the number of the face images of the target part not displayed in the training sample set conforms to the target ratio, and the target ratio is a first preset value in the training starting stage and is a second preset value in the training ending stage; and taking the face image in the training sample group as an input, taking the processed face image corresponding to the face image as an expected output, and training to obtain a face image processing model. According to the embodiment, the processing quality of a local area in a face image is improved.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to a face image processing model training method, device, electronic equipment, and computer-readable medium. Background technique [0002] Image processing technology meets different needs by performing different processing on images. For example, damaged or blurred images can be repaired, resulting in processed clear and complete images. With the development of artificial intelligence technology, artificial neural network has played an important role in the field of image processing. However, artificial neural networks have a need to improve the processing quality of local areas in some scenarios. For example, when inpainting corrupted images containing face regions, local regions such as teeth regions are not processed with high quality. Contents of the invention [0003] The Summary of the Disclosure is provided to introduce concepts in a si...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V40/168G06N3/045G06T5/73
Inventor 李华夏
Owner BEIJING ZITIAO NETWORK TECH CO LTD