Marching Cubes cuda extension
Summary: Torch CUDA extension for Marching Cubes - MC involving 3 steps: - 1st forward pass to collect vertices and occupied state for each voxel - Compute compactVoxelArray to skip non-empty voxels - 2nd pass to genereate interpolated vertex positions and faces by marching through the grid - In contrast to existing MC: - Bind each interpolated vertex with a global edge_id to address floating-point precision - Added deduplication process to remove redundant vertices and faces Benchmarks (ms): | N / V(^3) | python | C++ | CUDA | Speedup | | 2 / 20 | 12176873 | 24338 | 4363 | 2790x/5x| | 1 / 100 | - | 3070511 | 27126 | 113x | | 2 / 100 | - | 5968934 | 53129 | 112x | | 1 / 256 | - | 61278092 | 430900 | 142x | | 2 / 256 | - |125687930 | 856941 | 146x | Reviewed By: kjchalup Differential Revision: D39644248 fbshipit-source-id: d679c0c79d67b98b235d12296f383d760a00042a
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