---
license: apache-2.0
language:
- en
size_categories:
- n<1K
---
Demo dataset for our CVPR 2025 paper "ZoomLDM: Latent Diffusion Model for multi-scale image generation". We extract patches from TCGA-BRCA Whole slide images.

## Usage

```python
from datasets import load_dataset
ds = load_dataset("StonyBrook-CVLab/ZoomLDM-demo-dataset", name="5x", trust_remote_code=True, split='train')
print(np.array(ds[0]['ssl_feat']).shape)
>>> (1024, 16, 16)
```


## Citations


```bibtex
@InProceedings{Yellapragada_2025_CVPR,
    author    = {Yellapragada, Srikar and Graikos, Alexandros and Triaridis, Kostas and Prasanna, Prateek and Gupta, Rajarsi and Saltz, Joel and Samaras, Dimitris},
    title     = {ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation},
    booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
    month     = {June},
    year      = {2025},
    pages     = {23453-23463}
}
```

```
@article{lingle2016cancer,
  title={The cancer genome atlas breast invasive carcinoma collection (TCGA-BRCA)},
  author={Lingle, Wilma and Erickson, Bradley J and Zuley, Margarita L and Jarosz, Rose and Bonaccio, Ermelinda and Filippini, Joe and Net, Jose M and Levi, Len and Morris, Elizabeth A and Figler, Gloria G and others},
  year={2016},
  publisher={The Cancer Imaging Archive}
}
```