ManifoldPlus

ManifoldPlus is a high-performance geometric processing library designed to solve the 'watertightness' problem in 3D meshes, a critical requirement for 3D printing, physics simulations, and neural network training. Unlike traditional methods that rely on simple voxelization—which often results in a loss of sharp features—or local mesh repair—which fails on complex self-intersecting geometry—ManifoldPlus utilizes a robust projection-based algorithm. It operates by generating an initial coarse manifold and iteratively refining it against the original input using Intel Embree-accelerated ray-casting. By 2026, ManifoldPlus has solidified its position as the foundational preprocessing step for 3D Generative AI pipelines, enabling the conversion of 'soup' meshes (unstructured triangles) into valid Signed Distance Functions (SDFs) and Occupancy Fields. The tool is technically optimized for speed, handling millions of facets in seconds, and ensures that the resulting mesh is perfectly closed, manifold, and free of self-intersections. Its architecture is primarily C++ based, offering low-level memory management that is essential for high-throughput industrial applications and synthetic data generation for spatial computing.