├── DeepMLS_Generation.py ├── LICENSE ├── Octree ├── ocnn-tf │ └── libs │ │ ├── ReadMe.txt │ │ └── __init__.py └── ocnn.py ├── Pretrained ├── Config_d6_1p_pretrained.json ├── Config_d7_1p_pretrained.json ├── d6_1p_pretrained.zip ├── d7_1p_pretrained.zip └── download_models.py ├── README.md ├── environment.yml ├── examples ├── Config_g2_bs32_1p_d6.json ├── d0fa70e45dee680fa45b742ddc5add59.ply ├── d3380ee3db68aefb3f214ef9c53ac06.ply └── fcfc935c2ff7c66c858699aaad4acee4.ply ├── media └── teaser.png ├── mls_marching_cubes.py ├── network_architecture.py ├── points3d-tf ├── points3d │ ├── __init__.py │ ├── build.sh │ ├── get_neighbor_points_spatial_grid_local_self.cc │ ├── get_neighbor_points_spatial_grid_local_self.cu.cc │ ├── get_neighbor_points_spatial_grid_radius_weighting_voting.cc │ └── get_neighbor_points_spatial_grid_radius_weighting_voting.cu.cc └── pointsdataset │ └── points_dataset_octreed7.py ├── scripts ├── Readme.md └── generate_tf_records.py ├── utils.py └── vdb_tsdf ├── 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