Presentation
Data-free Learning of Reduced-order Kinematics
DescriptionWe present a new approach for finding a small subspace that parameterizes the low-energy configurations of a physical system by "overfitting" a simple neural network. No dataset is needed, just the system's potential energy function. The method applies broadly to elastic deformables, cloth, rigid bodies, and even linkages.
Event Type
Technical Paper
TimeWednesday, 9 August 20232:55pm - 3:05pm PDT
LocationPetree Hall C
Research & Education
Livestreamed
Recorded
Animation/Simulation
Modeling
FC
FCS
V
VS
EFC