Jiali Duan 8b8291830e 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

2022-11-15 19:42:04 -08:00

..

__init__.py

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bm_acos_linear_extrapolation.py

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bm_ball_query.py

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bm_barycentric_clipping.py

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bm_blending.py

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bm_cameras_alignment.py

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bm_cameras.py

Benchmark Cameras

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bm_chamfer.py

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bm_cubify.py

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bm_face_areas_normals.py

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bm_graph_conv.py

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bm_interpolate_face_attributes.py

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bm_iou_box3d.py

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bm_knn.py

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bm_lighting.py

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bm_main.py

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bm_marching_cubes.py

Marching Cubes cuda extension

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bm_mesh_edge_loss.py

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bm_mesh_io.py

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bm_mesh_laplacian_smoothing.py

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bm_mesh_normal_consistency.py

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bm_mesh_rasterizer_transform.py

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bm_meshes.py

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bm_packed_to_padded.py

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bm_perspective_n_points.py

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bm_point_mesh_distance.py

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bm_pointclouds.py

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bm_points_alignment.py

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bm_points_normals.py

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bm_points_to_volumes.py

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bm_pulsar.py

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bm_rasterize_meshes.py

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bm_rasterize_points.py

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bm_raymarching.py

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bm_raysampling.py

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bm_render_implicit.py

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bm_render_volumes.py

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bm_sample_farthest_points.py

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bm_sample_pdf.py

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bm_sample_points_from_meshes.py

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bm_se3.py

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bm_so3.py

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bm_subdivide_meshes.py

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bm_symeig3x3.py

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bm_vert_align.py

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