Upload nksr_wrapper/__init__.py
Browse files- nksr_wrapper/__init__.py +22 -0
nksr_wrapper/__init__.py
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
NKSR Wrapper — Point Cloud to Mesh Reconstruction
|
| 3 |
+
|
| 4 |
+
A clean, high-level Python wrapper around the Neural Kernel Surface
|
| 5 |
+
Reconstruction (NKSR) method by Huang et al. (CVPR 2023, Highlight).
|
| 6 |
+
|
| 7 |
+
NKSR reconstructs high-fidelity watertight meshes from sparse, noisy,
|
| 8 |
+
and large-scale point clouds using Neural Kernel Fields (NKF) with
|
| 9 |
+
compactly-supported kernels, gradient fitting, and minimal training.
|
| 10 |
+
"""
|
| 11 |
+
|
| 12 |
+
__version__ = "0.1.0"
|
| 13 |
+
|
| 14 |
+
from .reconstructor import NKSRMeshReconstructor, MeshResult
|
| 15 |
+
from .io import load_point_cloud, save_mesh
|
| 16 |
+
|
| 17 |
+
__all__ = [
|
| 18 |
+
"NKSRMeshReconstructor",
|
| 19 |
+
"MeshResult",
|
| 20 |
+
"load_point_cloud",
|
| 21 |
+
"save_mesh",
|
| 22 |
+
]
|