SIGGRAPH Thesis Fast Forward 2025

The SIGGRAPH Thesis Fast Forward is a forum for Ph.D. students in computer graphics to present and broadcast their research in 3 minutes or less. Students from around the world introduce us to a wide variety of topics. More information on https://research.siggraph.org/programs/thesisff-2025/ Presentations 0:00 - Computational Shape Design through Robust Physics Simulations, Zizhou Huang, New York University 3:11 - Domain Specific Languages for Geometry Processing, Yong Li, George Mason University 6:17 - Intelligent Optimization in Inverse Rendering, Michael Fischer, University College London 9:22 - Visual Thinking: A Study of Human Centered and AI-based Digital Painting, Chuan Yan, George Mason University 12:35 - Physically Based Skin Rendering, Ron Vanderfeesten, Utrecht University 15:36 - Computing 3D Medial Axis Transform via Restricted Power Diagram (RPD), Ningna Wang, University of Texas at Dallas 18:42 - Credits