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Image inpainting method and training method for image inpainting model

A technology for repairing models and models, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor restoration effect, poor image quality, and limitations in consideration, so as to improve restoration effect, natural image, and restoration good effect

Active Publication Date: 2021-05-25
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

In the above image repair process, only the information around the area to be repaired is considered, the consideration is limited, the repair effect is not good, and the image quality after repair is poor

Method used

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  • Image inpainting method and training method for image inpainting model
  • Image inpainting method and training method for image inpainting model
  • Image inpainting method and training method for image inpainting model

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Embodiment Construction

[0064] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0065] Artificial intelligence is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decis...

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Abstract

The application discloses an image restoration method and a training method for an image restoration model. The method includes: acquiring a first target image to be repaired; extracting target image features of the first target image; acquiring target candidate area information and a target reference map based on the target image features, and the target reference map carries pattern information of the first target image; The target candidate area information and the target reference image are used to inpaint the first target image to obtain a target inpainted image corresponding to the first target image. In the process of image restoration, the mode information of the image is considered more comprehensively, which is beneficial to improve the restoration effect of the image restoration, and the restored image is more natural.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to an image restoration method and a training method of an image restoration model. Background technique [0002] As a kind of image processing technology, image inpainting technology aims to repair the missing or occluded part of the image according to the image context. The image inpainting task requires the restored image to be as natural as possible and as close as possible to the original image. Through image repair technology, some noise, scratches, deletions and occlusions in the image can be removed to improve image quality. [0003] With the continuous development of artificial intelligence technology, the task of image inpainting has become one of the research focuses in the field of computer vision. The usual image repair process is: use the sample image to be repaired and the standard repaired image to train an end-to-end ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20081G06T5/77
Inventor 向天戈
Owner TENCENT TECH (SHENZHEN) CO LTD
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