About this Event
How GenAI Learns to Replicate Art: Opportunities and Implications
Generative AI tools let anyone create intricate images by simply typing a text command, mimicking a specific artist style. In this talk, University of Toronto researchers Prof. Alec Jacobson and Dr. Chenxi Liu will provide an accessible overview of artistic style mimicry in computer graphics, and Gen AI tools like ChatGPT. Style adapters create new, exciting possibilities for digital artwork that many millions of people can now enjoy, but what are the implications? They’ll explore ethical creation and distribution, copyright, fair use, attribution, and economic models for art. Plus, they’ll share existing methods from academia that counteract unauthorized use, supporting a non-adversarial relationship between artists and generative AI. If you’re curious about cutting edge technology, how it works, as well as the ethics and the relationship between art and AI – this talk is for you.
About our Speakers:
Alec Jacobson is an Associate Professor and Canada Research Chair in the Departments of Computer Science and Mathematics at University of Toronto. He is also a Senior Research Scientist at Adobe Research, Toronto. Before his post-doc at Columbia University, he received a PhD in Computer Science from ETH Zurich advised by Prof. Olga Sorkine-Hornung, and an MA and BA in Computer Science and Mathematics from the Courant Institute of Mathematical Sciences, New York University. His work spans all aspects of geometry processing, including machine learning for 2D/3D geometry, physics-based simulation, computational fabrication, numerical methods for geometric energies and PDEs, and interactive design tools for 2D and 3D. He has published several papers in the proceedings of ACM SIGGRAPH. He leads development of the widely used geometry processing library, libigl, winner of the 2015 SGP software award. In 2020, he received the ACM SIGGRAPH Significant New Researcher Award. In 2022, he received a Sloan Research Fellowship. In 2023, he received an Outstanding Teaching Award and a CS-Can/Info-Can Outstanding Early Career Computer Science Research Award.
Chenxi Liu is a researcher working at the intersection of technology and creativity. Her doctoral work explored how rough freehand sketches can be transformed into precise digital representations, as well as how expressive line drawings can be generated from 3D models. She now studies community generative image models, with a focus on understanding, manipulating, and attributing LoRA models that are fine-tuned for distinct artistic styles. Her work aims to foster meaningful collaboration between technology and creative expression.
Event Venue & Nearby Stays
23 Prince Arthur Ave, 23 Prince Arthur Ave, Toronto, Canada
CAD 25.00 to CAD 30.00
