README.md

---
license: other
license_name: close-mixed
license_link: LICENSE
pretty_name: CloSe-D
language:
  - en
tags:
  - 3d
  - point-cloud
  - mesh
  - clothing
  - segmentation
  - human
  - smpl
  - 3dv-2024
task_categories:
  - other
task_ids: []
size_categories:
  - 1K<n<10K
configs:
  - config_name: CloSe-Di
    data_files:
      - split: all
        path: CloSe-Di/*.npz
  - config_name: CloSe-Dc
    data_files:
      - split: all
        path: CloSe-Dc/*.npz
  - config_name: CloSe-Dpp
    data_files:
      - split: all
        path: CloSe-D++/*.npz
  - config_name: CloSe-Dpp-updated
    data_files:
      - split: all
        path: CloSe-D++_updated/*.npz
---

# CloSe-D: A 3D Clothing Segmentation Dataset

[Project Page](https://virtualhumans.mpi-inf.mpg.de/close3dv24/) · [Paper (arXiv:2401.12051)](https://arxiv.org/abs/2401.12051) · [Code (GitHub)](https://github.com/anticdimi/CloSe)

CloSe-D is a large-scale 3D clothing segmentation dataset accompanying the 3DV 2024 paper *"CloSe: A 3D Clothing Segmentation Dataset and Model"*. It provides per-vertex clothing labels, SMPL body registrations, and canonical-pose annotations for thousands of clothed human scans across 18 garment categories.

## Dataset Subsets

The dataset is released in three subsets with different licensing terms.

| Subset | # Scans | Scans released? | Labels | SMPL reg. | Notes |
|---|---|---|---|---|---|
| **CloSe-Di** | 1,444 | Yes | Yes | Yes | Fully releasable |
| **CloSe-Dc** | 1,732 | **No** (commercial) | Yes | Yes | Purchase scans from Renderpeople, Twindom, AXYZ |
| **CloSe-D++** | ~1,000 | **No** (original sources) | Yes | — | Labels over [THuman2.0](https://github.com/ytrock/THuman2.0-Dataset), [HuMMan](https://caizhongang.com/projects/HuMMan/), [3DHumans](https://cvit.iiit.ac.in/research/projects/cvit-projects/3dhumans) |
| **CloSe-D++_updated** | — | **No** (original sources) | Yes | — | Refined/expanded THuman2.0 labels (`THuman2.0_labels.npz`), released post-paper |

For CloSe-Dc, please obtain the raw scans from:
- [Renderpeople](https://renderpeople.com/)
- [Twindom](https://web.twindom.com/)
- [AXYZ](https://secure.axyz-design.com/en/shop/)

## File Format

- **CloSe-Di / CloSe-Dc** — one `.npz` per scan, keyed by fields such as `points, normals, colors, faces, labels, garments, pose, betas, trans, canon_pose, scale`. CloSe-Dc omits scan geometry (the commercial scans are not redistributed) and keeps labels + SMPL registration only. See [docs/dataset.md](https://github.com/anticdimi/CloSe/blob/main/docs/dataset.md) for the full field spec.
- **CloSe-D++ / CloSe-D++_updated** — a small number of consolidated `.npz` files, each acting as a dict of `scan_id → label_array`. Access via:

  ```python
  labels = np.load('CloSe-D++/THumans2.npz')['0000']
  ```

## Garment Label Mapping

```python
{
  0: 'Hat',        1: 'Body',       2: 'Shirt',       3: 'TShirt',
  4: 'Vest',       5: 'Coat',       6: 'Dress',       7: 'Skirt',
  8: 'Pants',      9: 'ShortPants', 10: 'Shoes',      11: 'Hoodies',
  12: 'Hair',     13: 'Swimwear',  14: 'Underwear',  15: 'Scarf',
  16: 'Jumpsuits', 17: 'Jacket'
}
```

## Usage

```python
from huggingface_hub import snapshot_download
import numpy as np

# Download the Di subset
path = snapshot_download(
    repo_id='<user>/CloSe-D',
    repo_type='dataset',
    allow_patterns='CloSe-Di/*',
)

data = np.load(f'{path}/CloSe-Di/<scan_id>.npz')
points, labels = data['points'], data['labels']
```

For a complete training/inference pipeline (CloSe-Net) and the interactive annotation tool (CloSe-T), see the [GitHub repository](https://github.com/anticdimi/CloSe).

## Splits

A reference train/test split for CloSe-Di is provided at `splits/split_closedi.npz`.

## Licensing

The CloSe-D dataset combines material with different licensing terms:

- **CloSe-Di (scans, labels, SMPL)**: released by the authors for non-commercial research under MIT-style terms consistent with the [accompanying code repository](https://github.com/anticdimi/CloSe/blob/main/LICENSE).
- **CloSe-Dc (labels, SMPL only)**: the authors release only annotations. The underlying scans are the property of Renderpeople, Twindom, and AXYZ and **must be purchased separately** under their respective commercial licenses.
- **CloSe-D++ (labels only)**: annotations are released by the authors. The underlying scans are subject to the licenses of [THuman2.0](https://github.com/ytrock/THuman2.0-Dataset), [HuMMan](https://caizhongang.com/projects/HuMMan/), and [3DHumans](https://cvit.iiit.ac.in/research/projects/cvit-projects/3dhumans) and must be obtained from the original sources.

By downloading this dataset you agree to these terms and to cite the paper below.

## Citation

```bibtex
@inproceedings{antic2024close,
    title     = {{CloSe}: A {3D} Clothing Segmentation Dataset and Model},
    author    = {Anti{\'c}, Dimitrije and Tiwari, Garvita and Ozcomlekci, Batuhan and Marin, Riccardo and Pons-Moll, Gerard},
    booktitle = {International Conference on 3D Vision (3DV)},
    month     = {March},
    year      = {2024},
}
```

If you use **CloSe-D++**, please additionally cite the source datasets (THuman2.0, HuMMan, 3DHumans) — see the [project docs](https://github.com/anticdimi/CloSe/blob/main/docs/dataset.md#disclaimer) for their BibTeX.

## Contact

- Dimitrije Antić — <d.antic@uva.nl>
- Garvita Tiwari — <gtiwari@mpi-inf.mpg.de>