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

A face image and model processing technology, which is applied in the field of image processing, can solve problems such as unsatisfactory models, poor face image effects, and inability to synthesize face age images, etc.

Pending Publication Date: 2020-09-11
BEIJING SANKUAI ONLINE TECH CO LTD
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Problems solved by technology

[0003] The inventors found that the existing models trained based on the age editing algorithm of face images are not ideal, and the generated face images are not effective at certain a

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

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Embodiment Construction

[0086] Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present application can be more thoroughly understood, and the scope of the present application can be fully conveyed to those skilled in the art.

[0087] The existing age editing algorithms based on face images rely on specific data sets, and these data sets often conform to the long-tail distribution, and the number of images of different ages varies greatly, which leads to the unsatisfactory model trained Face images are less effective at certain ages. Although the face image age editing algorithm based on generative confrontation network has been widely ...

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Abstract

The invention discloses a face image processing model training method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the coding of a first faceimage through an encoder of a face image processing model, and obtaining a first feature vector of the first face image; splitting the first feature vector into a plurality of sub-feature vectors, wherein the sub-feature vectors at least comprise an identity sub-feature vector and an age sub-feature vector; determining a to-be-decoded vector according to each sub-feature vector, and decoding theto-be-decoded vector by using a decoder of the face image processing model to obtain a second face image; and optimizing parameters of the face image processing model according to the regression lossvalues of the first face image and the second face image. According to the face image processing model obtained through training, the dependence on data distribution is reduced, the method is more robust to long-tail data with unbalanced ages, and a face aging image with a better effect can be generated.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a face image processing model training method, device, electronic equipment and storage medium. Background technique [0002] The age editing of face images is mainly based on the input face image and the corresponding target age to automatically simulate the face of the age. Related algorithms have a large number of potential applications in many entertainment and medical beauty scenarios, such as predicting your future your appearance, guess what you looked like when you were a child, find missing children, compare certifications, etc. In addition, more face data sets can also be generated through this model to assist in the training of related intelligent face analysis tasks. At present, this field mainly adopts schemes such as generative confrontation network and variational self-encoding. The well-known methods include Learning face age progression propos...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172
Inventor 柴振华赖申其李佩佩赫然
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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