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Nina Rajcic: Navigating Artificial Intelligence for a Meaningful Artistic Practice.
IEEE Computer Graphics and Applications
|August 20, 2024
Summary
This interview explores how AI artists develop creative processes using transformer and generative AI tools. It examines the transition from text-based AI art to graphical outputs, highlighting emerging artistic methodologies.
Area of Science:
- Artificial Intelligence
- Digital Art
- Computer Science
Background:
- The current AI boom, driven by transformer and generative AI, has spurred innovation in creative fields.
- AI artists are developing novel processes to leverage these advanced AI tools.
Purpose of the Study:
- To explore the evolving creative processes of AI artists.
- To investigate the application of transformer and generative AI in graphical art creation.
- To understand the transition from text-based to graphical AI art.
Main Methods:
- Interview with AI artist Nina Rajcic.
- Analysis of AI art development methodologies.
- Exploration of transformer and diffusion model relevance to visual outputs.
Main Results:
- AI artists are adapting their creative workflows to incorporate new AI technologies.
- The capabilities of transformer and diffusion models extend beyond text to graphical art generation.
- Emerging techniques demonstrate a growing synergy between AI and artistic creation.
Conclusions:
- The AI boon is fostering new artistic processes and outputs.
- AI artists are effectively bridging text and graphical domains using advanced AI.
- The study provides insights into the dynamic landscape of AI-driven art creation.
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