few-shot-cat

# 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}
}
```

# 引用

@article{DBLP:journals/corr/abs-2101.04775,
author = {刘冰辰、朱一哲、宋坤鹏、艾哈迈德·埃尔加马尔 (Ahmed Elgammal)},
title = {面向高保真少样本图像合成的更快更稳定生成对抗网络（Generative Adversarial Network，GAN）训练},
journal = {计算机研究预印本库（Computing Research Repository，CoRR)},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp = {2021年1月22日，星期五，15:16:00 中欧时间},
biburl = {https://dblp.org/rec/journals/corr/abs-2101.04775.bib},
bibsource = {dblp计算机科学文献库（https://dblp.org)}
}

搜集汇总

背景与挑战

背景概述

该few-shot-cat数据集由huggan维护，更新于2025年10月13日，大小为3.77MB，采用Apache License 2.0许可证。其关联的学术论文聚焦于高保真少样本图像合成中GAN训练的加速与稳定化方法。