
Worked on the nerfstudio repository to refactor Spherical Harmonics (SH) and k-nearest neighbors (kNN) utilities, moving them from the splatfacto module into dedicated utility modules for improved code organization. This effort centralized reusable SH and kNN logic, reducing duplication and enhancing maintainability. Updated the SH encoding to use a degree-based representation, increasing clarity and consistency across the codebase. The work involved code refactoring, utility function extraction, and module organization using both Python and C++. These changes established a foundation for future SH and kNN enhancements, supporting more scalable development and streamlined testing within the nerfstudio project.
December 2024: Refactored Spherical Harmonics (SH) and kNN utilities into dedicated modules and updated SH degree encoding for clarity and consistency in nerfstudio. This refactor improves maintainability, reduces duplication, and centralizes reusable logic, setting the foundation for future SH/KNN enhancements. Commit documentation references: a8888e7d9ea628266d11cbb563d4ebe4a6021ad0 (Move util functions out of splatfacto) (#3538).
December 2024: Refactored Spherical Harmonics (SH) and kNN utilities into dedicated modules and updated SH degree encoding for clarity and consistency in nerfstudio. This refactor improves maintainability, reduces duplication, and centralizes reusable logic, setting the foundation for future SH/KNN enhancements. Commit documentation references: a8888e7d9ea628266d11cbb563d4ebe4a6021ad0 (Move util functions out of splatfacto) (#3538).

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