SIGGRAPH Thesis Fast Forward - 2024

The SIGGRAPH Thesis Fast Forward is a unique forum for Ph.D. students in computer graphics to present and broadcast their research in 3 minutes or less. This year, students from around the world introduce us to a wide variety of topics.


TIMESTAMPS
0:00 Intrinsic Approaches to Learning and Computing on Curved Surfaces, Ruben Wiersma, TU Delft
3:13 Processing Freehand Vector Sketches, Chenxi Liu, University of British Columbia
6:20 Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric Domains, Rohan Sawhney, Carnegie Mellon University
9:41 Uncertainty Quantification in 3D Geometric Synthesis, Silvia Sellan, University of Toronto
12:15 Towards practical and robust material acquisition and generation, Xilong Zhou, Texas A&M University
15:20 Provably Robust and Accurate Methods for Rigid and Deformable Simulation with Contact, Zachary Ferguson, New York University
18:26 Procedural noise, textures and materials synthesis, Pascal Guehl, Université de Strasbourg
21:31 Volumetric mapping for medical imaging and geometry processing, Mazdak Abulnaga, Massachusetts Institute of Technology
25:25 Material Modeling, Yiwei Hu, Yale University
28:44 Credits