Image processing method, image processing device, and training method of neural network

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United States of America Patent

PATENT NO 11461639
APP PUB NO 20190220746A1
SERIAL NO

16336995

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Abstract

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A training method of a neural network for implementing image style transfer, an image processing method and an image processing device are disclosed. The training method includes: acquiring a first training input image and a second training input image; performing a style transfer process on the first training input image by the neural network to obtain a training output image; based on the first training input image, the second training input image and the training output image, calculating a loss value of parameters of the neural network through a loss function; and modifying the parameters of the neural network according to the loss value, where the loss function satisfies a predetermined condition, obtaining a trained neural network, where the loss function doesn't satisfy the predetermined condition, continuing to repeatedly perform above training process, the loss function including a weight-bias-ratio loss function.

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Patent Owner(s)

  • BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Liu, Hanwen Beijing, CN 53 169
Navarrete, Michelini Pablo Beijing, CN 49 218

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