Physics-Informed Gaussian Splatting

Source code for my Master's thesis on solving partial differential equations with Gaussians and machine learning.

The thesis can be found here.

Usage

First build and install the package in diff-gaussian-sampling.

Detailed instructions coming soon...

Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
diff-gaussian-sampling @ caaf67b		diff-gaussian-sampling @ caaf67b
.gitmodules		.gitmodules
README.md		README.md
gaussians.py		gaussians.py
main_pn.py		main_pn.py
model_pn.py		model_pn.py
test_1d.py		test_1d.py
test_conic_matrix.py		test_conic_matrix.py
test_density.py		test_density.py
test_derivatives.py		test_derivatives.py
test_gaussian_mixture.py		test_gaussian_mixture.py
test_gaussian_sampling.py		test_gaussian_sampling.py
test_initialize.py		test_initialize.py
test_initialize_1d.py		test_initialize_1d.py
test_neighbor_aggregation.py		test_neighbor_aggregation.py
test_no_mlp.py		test_no_mlp.py
test_no_mlp_1d.py		test_no_mlp_1d.py
test_numerical.py		test_numerical.py
test_numerical_2d.py		test_numerical_2d.py
test_pde.py		test_pde.py
test_split.py		test_split.py
test_torus.py		test_torus.py