metadata
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
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
@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}
}