Generative AI and Computational Creative Artform Transitions (e.g., Text to Images, Images to Music or Music to Text)

Read also: Writing a Master's Thesis in Computational Creativity

To be creative, we need to produce something which is new, meaningful and has some sort of value. Generative AI is able to support humans in creative processes, but to also itself be creative or to assess if an idea or a product is creative. A computational creativity project can investigate any creative field matching the interests and backgrounds of the student or students (language, design, music, art, mathematics, computer programming, etc.), and concentrate on one or several aspects of computational creativity, such as the production, understanding or evaluation of creativity, or on computer systems that support human creativity.

In particular, the project can investigate the transitions between different creative artforms, e.g., generating music or images based on textual input (as in Stable Diffusion models), generating music based on images or text, or generating text based on music or images.