Jaemin Oh

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations

The numerical approximation of partial differential equations (PDEs) using neural networks has seen significant advancements through Physics-Informed Neural Networks (PINNs). Despite their straightforward optimization framework and flexibility in implementing various PDEs, PINNs often suffer from li…