Conference

Tutorials

The following workshops will be hosted at ICCC:

 

A Deep Dive into Latent Space: Image Generation and Manipulation with StyleGAN2

This tutorial introduces the concept of latent spaces in deep generative models, specifically StyleGAN2, and the possibilities of image generation and manipulation they provide. Focusing on a model trained on photographs of human faces, we will demonstrate how to localise the latent representation of a given image (e.g. a participant’s own face) in order to blend it with another and how to create an animation of the interpolation between the two.

Organisers:
Sebastian Berns, Queen Mary University of London
Terence Broad, Goldsmiths, University of London

 
 

Building Generative Art Tools

https://computationalcreativity.net/tutorials/buildingarttools-iccc20/

By attending this session, participants will learn how to identify the pertinent inputs to generative art systems, and build user-interface tools for controlling those parameters. This tutorial will frame generative art systems as functions, and then introduce the (free) Observable JavaScript notebook platform as a framework for implementing those functions.

Organisers:
Michael Freeman, Information School, University of Washington

 
 

Quantum Algorithms for Artistic Experiences

This tutorial aims to discover how to program with quantum algorithms and to make some creative applications. We will use for this the Python Qiskit module, which is provided in Open Source by IBM. A new way of programming and even thinking, quantum computing is today an emerging and very creative field. Working with qubits rather than bits is a real conceptual revolution.

After a quick reminder of the theoretical principles that are essential for understanding the use of quantum programming (Part 1), we will discover how to implement the famous concepts of state superposition, entanglement and even quantum teleportation (Part 2) and finally, how to make some creative applications with these quantum tools (Part 3).

Organisers:
Alain Lioret, Université Paris 8