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SweepNet Dataset
This repository contains three datasets used in SweepNet. One dataset comprised of 20,000 sweep surfaces for neural sweeper training and two datasets used in quantitative evaluations. All datasets are preprocessed.
Neural Sweeper Dataset
We created 20,000 sweep surface samples to train the neural sweeper, please refer to the supplementary material for the training details. We provided sweep surfaces with 3, 4 and 5 control points, structured as follows:
neuralSweeperData/
βββ control_point_i/
β βββ sweep_surface_index/
β β βββ parameterse.txt # sweep surface parameters
β β βββ bspline.ply #visualized sweeping axis
β β βββ sample_profile.obj #visualized profile
β β βββ result_sweep.ply # sweep surface
β β βββ manifold_points.npy # key points on the sweep surface
β β βββ sweep_occupancy_v1.npy # Occupancy field of the sweep surface
GC-Object Dataset
We sampled 50 generalised cylinder featured objects from internet and prior works OreX, GCD. We provide processed 3D models here. Please consider cite us and the prior works if you find the dataset useful.
GC_objects/
βββ model name/
β βββ oracle.obj # Oracle 3D model (not the input)
β βββ voxel_64_mc.off # 3D model reconstructed from input voxel
β βββ skeletal_prior.ply # Model skeletons
β βββ model_surface_point_cloud.ply # Surface point cloud for point cloud input modality
βββ test_names.npz # List of all model names
βββ voxel2pc.hdf5 # Model voxels and occupancy field used for training
βββ ae_voxel_points_samples.hdf5 # Model voxels and occupancy field used *only* for testing
Quadrupeds Dataset
We use quadrupeds dataset from Tulsiani et al. to benchmark SweepNet. We provide the processed data here, please cite us if you used our processed data.
quadrupeds/
βββ model name/
β βββ oracle.obj # Oracle 3D model (not the input)
β βββ skeletal_prior.ply # Model skeletons
β βββ model_surface_point_cloud.ply # Surface point cloud for point cloud input modality
βββ test_names.npz # List of all model names
βββ voxel2pc.hdf5 # Model voxels and occupancy field used for training
βββ ae_voxel_points_samples.hdf5 # Model voxels and occupancy field used *only* for testing
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