ABOUT
Utilize AI for music generation: Explore various AI-powered music generation techniques, such as deep learning models or generative adversarial networks (GANs), to create unique and innovative compositions.
Generate AI-driven visuals: Experiment with different AI-based visual generation methods, such as style transfer, neural style transfer, or generative adversarial networks, to produce visually striking and abstract imagery.
Integrate music and visuals: Seamlessly combine the AI-generated music and visuals into a cohesive and visually appealing music video.
Explore the boundaries of AI creativity: Investigate the limitations and potential of AI in creating artistic content and push the boundaries of what is possible.
Target Audience
Tech enthusiasts: Individuals interested in AI, technology, and experimental art.
Music and visual arts lovers: People who appreciate innovative and unconventional forms of creative expression.
Academic researchers: Scholars studying AI, machine learning, and the intersection of technology and the arts.
The success of the project will be evaluated based on the following criteria:
Creativity and originality: The uniqueness and innovative nature of the AI-generated music and visuals.
Technical proficiency: The effective use of AI tools and techniques to achieve the desired results.
Visual appeal: The aesthetic quality and visual impact of the music video.
Audience engagement: The ability of the music video to captivate and interest the target audience.
Back to Experimental Music Video project
Irina Eller
Graphic Designer, self employed
Estonia
Elisabeth Grosse aka LIZITA
Graphic Designer
United Kingdom
Creativepool
United Kingdom
Gonzalo Duque
Motion Graphics Designer, GDuque
Spain