Release v0.2.9

Features

• Implemented ultra-fast GPU one-sided and two-sided Chamfer Distance kernels using KD-Tree.
• Added pybind wrappers and Python functions (c3d.ops.chamfer_distance) for the new Chamfer operations.
• Implemented grid normal computation (compute_grid_normal) and exposed it to Python for improved Signed Distance Field rendering.
• Updated README with Chamfer distance feature documentation.

Refactors & Build

• Refactored Marching Cubes bindings, headers, and wrapper arguments to cleanly integrate grid normals.
• Fixed a bug in Marching Cubes by correcting the num_triangles_functor memory allocation.
• Bumped version in pyproject.toml for the new release.

Examples

• Created a new comprehensive notebook (examples/distance/chamfer_distance.ipynb) comparing Conquer3D's Chamfer distance against point_cloud_utils.
• Updated the Marching Cubes notebook (examples/meshing/marching_cubes.ipynb) to include grid normal visualizations and an end-to-end evaluation using the new Chamfer distance metric.