


These high-impact presentations take you to the leading edge of visual innovation, featuring world-renowned pioneers, ground-breaking researchers, and creative luminaries at the forefront of computer graphics and interactive techniques. Gain profound, big-picture perspectives on the technological breakthroughs, bold creative frontiers, and transformative trends set to redefine industries worldwide. From pure scientific discovery to breathtaking digital artistry, discover what is next straight from the luminaries driving the revolution.
Keynote Speakers
Markus Gross
Chief Scientist, DisneyResearch|Studios,
Professor of Computer Science, ETH Zürich
Markus Gross is the Chief Scientist of the Walt Disney Studios and a professor of Computer Science at ETH Zürich. He is one of the leading authorities in visual computing, computer animation, digital humans, virtual reality, and AI. In his role at Disney he leads the Studio segment’s research and innovation unit, where he and his team are pushing the forefront of technology innovation in service of the filmmaking process. Gross has published over 500 scientific papers and holds over 100 patents. His work and achievements have been recognized widely, including two Academy Awards and the ACM SIGGRAPH Steven Anson Coons Award. Gross is member of multiple academies of science and of the Academy of Motion Picture Arts and Sciences.
Ran Huang
Chief Architect of Graphics & Imaging, Huawei Consumer BG,
Huawei Technologies Co., Ltd.
Andrea Vedaldi
Professor of Computer Vision and Machine Learning, University of Oxford,
Research Scientist and Technical Lead, Meta
Andrea Vedaldi is Professor of Computer Vision and Machine Learning at the University of Oxford, where he co-leads the Visual Geometry Group, one of the most influential computer vision groups worldwide. He is also a technical lead at Meta, working on 3D computer vision and generative AI. Andrea has made contributions across multiple areas of computer vision and machine learning. Andrea is a recipient of the Royal Society Faraday Discovery Fellowship, and a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). He has acted as chair at the European Conference on Computer Vision. His research was recognised by the IEEE Thomas Huang Memorial Prize, the IEEE Mark Everingham Prize, two Best Paper Awards at the Conference on Computer Vision and Pattern Recognition, and the Test of Time Award by the ACM.





