Training method of image generation model, generating method and device and equipment

A technology of image generation and training methods, applied in biological neural network models, graphics and image conversion, image data processing, etc., can solve the problem of high time and cost of model training

Pending Publication Date: 2021-05-28
BIGO TECH PTE LTD
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Problems solved by technology

[0004] In the above-mentioned related technologies, the face caricature image generated by the image generation model must not only maintain the face features, but also have a rel

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  • Training method of image generation model, generating method and device and equipment
  • Training method of image generation model, generating method and device and equipment
  • Training method of image generation model, generating method and device and equipment

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Embodiment Construction

[0044] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of approaches consistent with aspects of the application as recited in the appended claims.

[0045] Face transformation is a common image processing method in computer vision. The image generation model trained by the method provided by the embodiment of the present application can be applied to the target application program (such as video application program, social application program, live broadcast application program, shopping application program, image processing application program, etc. ),...

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Abstract

The embodiment of the invention provides a training method of an image generation model, a generation method and device and equipment, and relates to the technical field of machine learning and image processing. The training method comprises the steps that a first transformation model is obtained through training, the first transformation model is used for generating a first training image based on a first noise sample, and the first training image is an image of a first type of style; training is performed to obtain a reconstruction model based on the first transformation model; a second transformation model is obtained through training, the second transformation model is used for generating a second training image based on the second noise sample, and the second training image is an image of a second type of style; the first transformation model and the second transformation model are grafted to generate a grafted transformation model; and based on the reconstruction model and the grafted transformation model, an image generation model is generated, and the image generation model is used for transforming the to-be-transformed image of the first type of style into a target image of a second type of style. By adopting the technical scheme provided by the embodiment of the invention, the time cost of model training can be reduced.

Description

technical field [0001] The embodiments of the present application relate to the technical field of machine learning and image processing, and in particular to a training method, generation method, device and equipment for an image generation model. Background technique [0002] At present, machine learning technology is more and more widely used in the field of image processing technology, for example, transforming the style of an image based on machine learning technology. [0003] In related technologies, a large number of training sample pairs are collected first, and each training sample pair includes a real face image and a corresponding face caricature image; The completed learned model is the image generation model. [0004] In the above-mentioned related technologies, the face caricature image generated by the image generation model must not only maintain the face features, but also have a relatively strong caricature style, so it is necessary to use a large number ...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06N3/08
CPCG06T3/0012G06N3/08G06T2207/20081G06T2207/30201G06T2207/10016G06T2207/20076G06T2207/20084G06T11/001G06N3/0455G06N3/0475G06N3/094
Inventor 李安李玉乐项伟
Owner BIGO TECH PTE LTD
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