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Algorithm of Painting Style Transformation Based on Depth Neural Network

Lecture Notes in Electrical Engineering, ISSN: 1876-1119, Vol: 1031 LNEE, Page: 1658-1663
2023
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Conference Paper Description

With the enrichment of material life, people’s demand for spiritual and cultural life is becoming stronger and stronger. As an important part of spiritual culture, artistic creation and entertainment consumption have also received more and more attention. The painting style conversion algorithm based on depth neural network is a technology that uses depth information to convert an image into another image. The algorithm is suitable for images with high contrast and sharp edges. It is also suitable for images with low contrast and blurred edges, but compared with other algorithms, it takes more time to complete this process. The painting style conversion algorithm based on depth neural network is a technology that uses depth information to convert an image into another image. The algorithm is suitable for images with high contrast and sharp edges. It is also suitable for images with low contrast and blurred edges. This algorithm is used to convert the sample image into a new image of Xin’an painting style.

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