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Journal of System Simulation

Abstract

Abstract: Aiming at the problems of color overflow in pattern sketch colorization and lack of fabric texture features in style transfer, this paper proposes a method of costume pattern sketch colorization and style transfer based on neural network. This paper initializes the data set, collects the costume pattern image, extracts the costume pattern sketch, synthesizes the costume pattern sketch with color features and constructs the style data set. The research builds the conditional generative adversarial nets and achieves the costume pattern sketch with color features colorization based on the generator. The study constructs a convolutional neural network model, uses the model to calculate the content features of the content map and uses the Gram matrix to calculate the style features of the style map, introduces weight parameters to optimize the loss function, and outputs a satisfactory costume pattern transfer image. The experimental results show that the generated image has a real costume pattern color distribution and a good sense of fabric material.

First Page

604

Revised Date

2022-01-05

Last Page

615

CLC

TP391.9

Recommended Citation

Xingquan Cai, Zhijun Li, Mengyao Xi, Haiyan Sun. Costume Pattern Sketch Colorization and Style Transfer Based on Neural Network[J]. Journal of System Simulation, 2023, 35(3): 604-615.

Corresponding Author

Haiyan Sun,sunhaiyan80@hotmail.com

DOI

10.16182/j.issn1004731x.joss.21-1154

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