Tutorials

The following tutorials will be hosted at ICCC’21:

Avatars for All!

https://computationalcreativity.net/iccc21/avatars-for-all

How can you be anybody in Zoomspace? Very recent developments in deep-learning, allow creating synthetic media of unprecedented quality and ease. The first-order-motion-model can do facial reenactment in real-time, provided with only a single image of your desired avatar. This came not a moment too soon, as Human communication was forced to move online due to the Coronavirus pandemic. Can this be an opportunity to fulfill the long promised cybernetic utopia, where we could shed our physical shells and become however we wish to be? And how does this pertain to issues of privacy, identity and trust?

This is a hands-on participatory and creative tutorial, where you will create deep-fake videos using your own materials, and play with various options of becoming an online avatar. No prior knowledge needed.

Organizers

  • Eyal Gruss (Tel-Aviv, Israel)

Live Coding Music with Machine Learning in the Browser

https://computationalcreativity.net/iccc21/live-coding-music

This tutorial will introduce the basic concepts of musical live coding with machine learning and get people up and running with Sema. It will run on a 3-hour long, synchronous Zoom session, without a limit for the number of participants. To participate in this tutorial, no previous experience required, either with sema or with music-making, more generally. Nonetheless, participants will benefit from beginner-level JavaScript programming skills.

Organizers

  • Francisco Bernardo (University of Sussex, UK)
  • Chris Kiefer (University of Sussex, UK)
  • Thor Magnusson (University of Sussex, UK)

Using Machine Learning to Build Musical Instruments in the Browser with MIMIC

https://computationalcreativity.net/iccc21/mimic

In this tutorial, participants will get to use machine learning to map an input (video, audio, motion…) to output using specially developed libraries and create a new musical instrument all within the MIMIC browser based platform. No prior knowledge of Machine Learning or Javascript is required.

Organizers

  • Louis McCallum (Creative Computing Institute, UAL, London)
  • Mick Grierson (Creative Computing Institute, UAL, London)

Therapeutic Computational Creativity

https://computationalcreativity.net/iccc21/therapeutic-cc

Therapeutic Computational Creativity is an emerging domain that offers exciting opportunities for wellness and mental health. A central aim of mental health therapy is to enable people to be aware of and integrate their emotions into a positive framework. The promise of Therapeutic Computational Creativity rests on the capability of CC systems to engage individuals in creative artistic processes, which are known to facilitate the recognition and integration of challenging emotions into a more positive psychological state.

Art and music therapy have repeatedly been demonstrated to offer therapeutic value through the creative process. Positive, provable therapeutic benefits have been reported for a wide range of conditions including PTSD, anxiety, depression, and bereavement. Therapeutic Computational Creativity may be able to offer similar benefits in scalable form.

Organizers

  • Maya Ackerman (Santa Clara University, California)
  • Galen Buckwalter (PsyML, California)