What if artists had a paintbrush that acted less like a tool and more like an assistant? A machine learning model acting as such a paintbrush could reduce the amount of time necessary to create high-quality art without sacrificing artistic choices, perhaps even enhancing creativity. In this workshop, we will cover insights gained from creating the machine learning model behind Chimera Painter (https://storage.googleapis.com/chimera-painter/index.html). Additionally, we will try out some drawings and take a look at what chimeras we can create!
We are definitely open and excited about continuing conversations after Mozfest. To this end, we will be providing contact information as a starting point for discussion post-conference.
How will you deal with varying numbers of participants in your session?:This particular session can scale well with differing numbers of participants because of the nature of the demo. If fewer participants show up, we can easily go more in-depth on technical aspects of the model or do more interactive drawing and feedback discussions. In the opposite case of more participants, we can do an overview of both parts and leave more time for Q&A to cover individual questions.
What is the goal and/or outcome of your session?:The goal of this session is two fold: to share machine learning knowledge about the creation of models that allow for artist interaction and to discuss how well this interaction works with a live demo. We are hoping that attendees will walk away from the workshop with a better understanding of this particular flavor of Creative AI and be able to participate in an open dialogue about how this technology would potentially boost productivity and creativity.
Software Engineer at Google Stadia Games and Entertainment, specializing in machine learning. Ph.D. in Computer Science from George Mason University.