Datasets:
ArXiv:
License:
| license: apache-2.0 | |
| # SweepNet Dataset | |
| 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. | |
| ## 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/ | |
| ├── control_point_i/ | |
| │ ├── sweep_surface_index/ | |
| │ │ ├── parameterse.txt # sweep surface parameters | |
| │ │ ├── bspline.ply #visualized sweeping axis | |
| │ │ ├── sample_profile.obj #visualized profile | |
| │ │ ├── result_sweep.ply # sweep surface | |
| │ │ ├── manifold_points.npy # key points on the sweep surface | |
| │ │ ├── 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](https://arxiv.org/abs/2211.12886), [GCD](https://vcc.tech/research/2015/GCD#:~:text=Our%20decomposition%20algorithm%20progressively%20builds,on%20decomposition%20to%20global%20optimization.). | |
| We provide processed 3D models here. Please consider cite us and the prior works if you find the dataset useful. | |
| ``` | |
| GC_objects/ | |
| ├── model name/ | |
| │ ├── oracle.obj # Oracle 3D model (not the input) | |
| │ ├── voxel_64_mc.off # 3D model reconstructed from input voxel | |
| │ ├── skeletal_prior.ply # Model skeletons | |
| │ ├── model_surface_point_cloud.ply # Surface point cloud for point cloud input modality | |
| ├── test_names.npz # List of all model names | |
| ├── voxel2pc.hdf5 # Model voxels and occupancy field used for training | |
| ├── ae_voxel_points_samples.hdf5 # Model voxels and occupancy field used *only* for testing | |
| ``` | |
| ## Quadrupeds Dataset | |
| 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. | |
| ``` | |
| quadrupeds/ | |
| ├── model name/ | |
| │ ├── oracle.obj # Oracle 3D model (not the input) | |
| │ ├── skeletal_prior.ply # Model skeletons | |
| │ ├── model_surface_point_cloud.ply # Surface point cloud for point cloud input modality | |
| ├── test_names.npz # List of all model names | |
| ├── voxel2pc.hdf5 # Model voxels and occupancy field used for training | |
| ├── ae_voxel_points_samples.hdf5 # Model voxels and occupancy field used *only* for testing | |
| ``` |