A Deep Learning-Based Programming and Creation Algorithm of NFT Artwork

Author:

Wang T.1ORCID

Affiliation:

1. School of Fine Arts, Guiyang University, Guiyang 550005, China

Abstract

In the field of computer vision, it is a very challenging task to use artificial intelligence deep learning method to realize the programming and creation of NFT artwork. With the continuous development and improvement of deep learning technology, this task has become a reality. The generative adversarial network model used in deep learning can generate new images based on the extraction and analysis of image data features and has become an important tool for NFT artwork image generation. In order to better realize the NFT artwork programming, this paper analyzes the working principle of the traditional adversarial generation method and then uses the StyleGAN model to edit the higher-level attributes of the image, which can effectively control the generated style and style of the NFT artwork image. Finally, in order to improve the quality of the generated images, this paper introduces a channel attention mechanism and a spatial attention mechanism to ensure that the generated images are more reasonable and realistic. Finally, through a large number of experiments, it is proved that the NFT artwork transmission programming algorithm based on artificial intelligence deep learning proposed in this paper can control the overall style of image generation according to the needs of the transmission, and the generated image features have good details and high visual quality.

Funder

Science and Technology Bureau, Guiyang Municipal Government

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference24 articles.

1. Oil Painting Simulation in Virtual Reality: a new tool for digital artists offering the analog control of traditional painting with the benefits of a virtual environment;V. D. Berge

2. Research on the application of computer image processing technology in painting creation[J];Y. Zhao;Journal of Interconnection Networks,2022

3. Impact of Group Art Therapy Using Traditional Chinese Materials on Self-Efficacy and Social Function for Individuals Diagnosed With Schizophrenia

4. Promoting the Empowerment of Young Saudi Women through digital art Events in Light of the Kingdom of Saudi Arabia’s 2030

5. Prospecting non-fungible tokens in the digital economy: stakeholders and ecosystem, risk and opportunity[J];K. B. Wilson;Business Horizons,2021

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