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We present ManifoldPlus, a method for robust and scalable conversion oftriangle soups to watertight manifolds. While many algorithms in computergraphics require the input mesh to be a watertight manifold, in practice manymeshes designed by artists are often for visualization purposes, and thus havenon-manifold structures such as incorrect connectivity, ambiguous faceorientation, double surfaces, open boundaries, self-intersections, etc.Existing methods suffer from problems in the inputs with face orientation andzero-volume structures. Additionally most methods do not scale to meshes ofhigh complexity. In this paper, we propose a method that extracts exteriorfaces between occupied voxels and empty voxels, and uses a projection-basedoptimization method to accurately recover a watertight manifold that resemblesthe reference mesh. Compared to previous methods, our methodology is simpler.It does not rely on face normals of the input triangle soups and can accuratelyrecover zero-volume structures. Our algorithm is scalable, because it employsan adaptive Gauss-Seidel method for shape optimization, in which each step isan easy-to-solve convex problem. We test ManifoldPlus on ModelNet10 andAccuCity datasets to verify that our methods can generate watertight meshesranging from object-level shapes to city-level models. Furthermore, through ourexperimental evaluations, we show that our method is more robust, efficient andaccurate than the state-of-the-art. Our implementation is publicly available.

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups