Event overview
Ira Greenberg's Whitehead leacture on Latent Diffusion: Collaborator, Muse or Villain
Abstract:
Latent Diffusion (‘LD’) presented as a recent advance in image generation, can be viewed as a logical extension of generative art, dating back to the 1950’s. Generative art, through the use of random algorithms, can approximate emergent properties of analog materials and practices. Prior to LD, most generative art was limited to mathematically derived geometric output, as algorithms to describe more figurative/natural forms exceeded most artists’ capabilities. LD enables the generation of recognizable imagery, including synthesis of new work as well as alteration of existing work. It has led to an explosion of massive bodies of work, from both artists and hobbyists. The widespread adoption of LD has also created controversy regarding exploitation of artists, their public artwork being used as training data without consent, and the potential loss of employment. In this talk, through an exploration of his own practice, Ira discusses his extensive use of LD, including its connection to his painting and coding practice(s) and its role as collaborator, muse or villain.
Biography:
Ira Greenberg is Director and Professor of the Center of Creative Computation, at SMU in Dallas, TX. His creative practice and research focus on the integration of traditional studio arts practices, primarily drawing and painting, with computation. He is the author of three texts on creative coding and computer science pedagogy, including the first major reference on the Processing language. His work is shown throughout the world, with an emphasis in recent years on blockchain art and generative AI.
Dates & times
| Date | Time | Add to calendar |
|---|---|---|
| 20 Mar 2024 | 4:00pm - 5:00pm |
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