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license: apache-2.0 |
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# SweepNet Dataset |
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This repository contains three datasets used in [SweepNet](https://arxiv.org/abs/2407.06305). One dataset comprised of 20,000 sweep surfaces for neural sweeper training and two datasets used in quantitative evaluations. All datasets are preprocessed. |
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## Neural Sweeper Dataset |
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We created 20,000 sweep surface samples to train the neural sweeper, please refer to the supplementary material for the training details. |
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We provided sweep surfaces with 3, 4 and 5 control points, structured as follows: |
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``` |
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neuralSweeperData/ |
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├── control_point_i/ |
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│ ├── sweep_surface_index/ |
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│ │ ├── parameterse.txt # sweep surface parameters |
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│ │ ├── bspline.ply #visualized sweeping axis |
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│ │ ├── sample_profile.obj #visualized profile |
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│ │ ├── result_sweep.ply # sweep surface |
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│ │ ├── manifold_points.npy # key points on the sweep surface |
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│ │ ├── sweep_occupancy_v1.npy # Occupancy field of the sweep surface |
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``` |
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## GC-Object Dataset |
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We sampled 50 generalised cylinder featured objects from internet and prior works [OreX](https://arxiv.org/abs/2211.12886), [GCD](https://vcc.tech/research/2015/GCD#:~:text=Our%20decomposition%20algorithm%20progressively%20builds,on%20decomposition%20to%20global%20optimization.). |
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We provide processed 3D models here. Please consider cite us and the prior works if you find the dataset useful. |
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``` |
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GC_objects/ |
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├── model name/ |
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│ ├── oracle.obj # Oracle 3D model (not the input) |
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│ ├── voxel_64_mc.off # 3D model reconstructed from input voxel |
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│ ├── skeletal_prior.ply # Model skeletons |
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│ ├── model_surface_point_cloud.ply # Surface point cloud for point cloud input modality |
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├── test_names.npz # List of all model names |
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├── voxel2pc.hdf5 # Model voxels and occupancy field used for training |
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├── ae_voxel_points_samples.hdf5 # Model voxels and occupancy field used *only* for testing |
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``` |
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## Quadrupeds Dataset |
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We use quadrupeds dataset from [Tulsiani et al.](https://github.com/shubhtuls/volumetricPrimitives/issues/7) to benchmark SweepNet. We provide the processed data here, please cite us if you used our processed data. |
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``` |
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quadrupeds/ |
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├── model name/ |
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│ ├── oracle.obj # Oracle 3D model (not the input) |
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│ ├── skeletal_prior.ply # Model skeletons |
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│ ├── model_surface_point_cloud.ply # Surface point cloud for point cloud input modality |
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├── test_names.npz # List of all model names |
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├── voxel2pc.hdf5 # Model voxels and occupancy field used for training |
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├── ae_voxel_points_samples.hdf5 # Model voxels and occupancy field used *only* for testing |
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``` |
