Image generation model training method and device, image generation method and device and electronic equipment

An image generation and model training technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of difficult acquisition of paired images

Pending Publication Date: 2021-05-18
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The present disclosure provides an image generation model training method, image generation method, device, and electronic equipment to at least solve the problem of difficulty in obtaining paired images in the related art

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  • Image generation model training method and device, image generation method and device and electronic equipment
  • Image generation model training method and device, image generation method and device and electronic equipment
  • Image generation model training method and device, image generation method and device and electronic equipment

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Embodiment Construction

[0090] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0091] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to an image generation model training method and device, an image generation method and device, and electronic equipment, and the method comprises the steps: obtaining a first original image generator and a second original image generator which are the same, obtaining a first sample image and a second sample image which are different in image style, generating a random vector, respectively inputting the random vectors into a first original image generator and a second original image generator to obtain a first output image and a second output image, training a first original image generator, a first discriminator, a second original image generator and a second discriminator according to the first output image, the second output image, the first sample image and the second sample image to obtain a first image generator and a second image generator, wherein the first image generated by the first image generator is the same as the first sample image in style, and the second image generated by the second image generator is the same as the second sample image in style. The paired image can be conveniently obtained, and high generation efficiency of the paired image is ensured.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to an image generation model training method, image generation method, device and electronic equipment. Background technique [0002] Stylization conversion can change the details and style of the image while retaining the main content of the image, such as changing the age of the portrait, changing the skin color of the portrait in the photo, or converting the photo into an animation (two-dimensional) style. [0003] The commonly used style transformation method fits the input image through the neural convolutional network, and outputs the transformed image of the target style. While completing the style transformation, the general details of the image remain unchanged, such as the face shape of the character, and the outline of the facial features remains unchanged before and after transformation. Basically unchanged. [0004] Training the network req...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/16G06F18/214
Inventor 方慕园张雷万鹏飞
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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