Brushstrokes of Tomorrow: Exploring the Art of AI

Authors

  • Tanish M Sanghvi Student, AIML, New Horizon College of Engineering, Bengaluru, Karnataka, India Author
  • Ricky Student, AIML, New Horizon College of Engineering, Bengaluru, Karnataka, India Author
  • Shivani Rajkumar Student, AIML, New Horizon College of Engineering, Bengaluru, Karnataka, India Author
  • Tirishaant Kartik Student, AIML, New Horizon College of Engineering, Bengaluru, Karnataka, India Author
  • Sonia Maria D’Souza Associate Professor, AIML, New Horizon College of Engineering, Bengaluru, Karnataka, India Author

DOI:

https://doi.org/10.32628/IJSRSET24113140

Keywords:

AI based art generation, AI deep learning, Generative Adversarial Networks, Variational Autoencoders, Art Generation, Creative Designing

Abstract

In recent years, the advancement of Artificial Intelligence (AI) technology, particularly in deep learning algorithms like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAE), has led to significant developments in AI-based art generation across various sectors within the art industry. The year 2022 witnessed an explosion of AI-generated art, particularly in creative design, resulting in the production of numerous outstanding works that have enhanced the efficiency of art design processes. This study delves into the application and design characteristics of AI generation technology within two specific sub-fields: AI painting and AI animation production. A comparative analysis between traditional painting methods and AI-generated painting techniques is conducted to discern differences. Through this research, the paper synthesizes the advantages and challenges inherent in the AI creative design process. Despite technical limitations and issues such as copyright and income distribution, AI art designs demonstrate promise in facilitating artistic innovation and technological integration within the art domain. Their potential for advancing sub divisional artistic practices and their intersection with technology renders them highly valuable subjects for further research and exploration.

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References

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Published

18-06-2024

Issue

Section

Research Articles

How to Cite

[1]
Tanish M Sanghvi, Ricky, Shivani Rajkumar, Tirishaant Kartik, and Sonia Maria D’Souza, “Brushstrokes of Tomorrow: Exploring the Art of AI”, Int J Sci Res Sci Eng Technol, vol. 11, no. 3, pp. 356–362, Jun. 2024, doi: 10.32628/IJSRSET24113140.

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