huggan/monet2photo
收藏Hugging Face2022-04-12 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/huggan/monet2photo
下载链接
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资源简介:
This dataset is part of the CycleGAN datasets, originally hosted here: https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# Citation
```
@article{DBLP:journals/corr/ZhuPIE17,
author = {Jun{-}Yan Zhu and
Taesung Park and
Phillip Isola and
Alexei A. Efros},
title = {Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
Networks},
journal = {CoRR},
volume = {abs/1703.10593},
year = {2017},
url = {http://arxiv.org/abs/1703.10593},
eprinttype = {arXiv},
eprint = {1703.10593},
timestamp = {Mon, 13 Aug 2018 16:48:06 +0200},
biburl = {https://dblp.org/rec/journals/corr/ZhuPIE17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
本数据集隶属于CycleGAN(循环生成对抗网络)数据集系列,其原始托管地址为:https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
# 引用文献
@article{DBLP:journals/corr/ZhuPIE17,
author = {朱俊彦、朴泰成、菲利普·伊索拉、阿列克谢·A·埃弗罗斯},
title = {使用循环一致性对抗网络实现非配对图像到图像转换},
journal = {CoRR},
volume = {abs/1703.10593},
year = {2017},
url = {http://arxiv.org/abs/1703.10593},
eprinttype = {arXiv},
eprint = {1703.10593},
timestamp = {Mon, 13 Aug 2018 16:48:06 +0200},
biburl = {https://dblp.org/rec/journals/corr/ZhuPIE17.bib},
bibsource = {dblp计算机科学文献库, https://dblp.org}
}
提供机构:
huggan
原始信息汇总
数据集概述
该数据集属于CycleGAN数据集系列,原始托管地址为:https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
引用信息
@article{DBLP:journals/corr/ZhuPIE17, author = {Jun-Yan Zhu and Taesung Park and Phillip Isola and Alexei A. Efros}, title = {Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks}, journal = {CoRR}, volume = {abs/1703.10593}, year = {2017}, url = {http://arxiv.org/abs/1703.10593}, eprinttype = {arXiv}, eprint = {1703.10593}, timestamp = {Mon, 13 Aug 2018 16:48:06 +0200}, biburl = {https://dblp.org/rec/journals/corr/ZhuPIE17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
搜集汇总
数据集介绍

背景与挑战
背景概述
huggan/monet2photo是一个用于非配对图像转换的CycleGAN数据集,包含7,038行数据,分为训练集和测试集,格式为parquet。该数据集基于2017年发表的CycleGAN论文,适用于图像生成和转换任务。
以上内容由遇见数据集搜集并总结生成



