Datasets:

Modalities:
Image
Formats:
parquet
Size:
< 1K
ArXiv:
Libraries:
Datasets
pandas
Search is not available for this dataset
image
imagewidth (px)
225
4.03k
label
class label
1 class
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
0img
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Citation

@article{DBLP:journals/corr/abs-2101-04775,
  author    = {Bingchen Liu and
               Yizhe Zhu and
               Kunpeng Song and
               Ahmed Elgammal},
  title     = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
               Image Synthesis},
  journal   = {CoRR},
  volume    = {abs/2101.04775},
  year      = {2021},
  url       = {https://arxiv.org/abs/2101.04775},
  eprinttype = {arXiv},
  eprint    = {2101.04775},
  timestamp = {Fri, 22 Jan 2021 15:16:00 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2101-04775.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
Downloads last month
13

Models trained or fine-tuned on huggan/few-shot-moongate