Flickr-Faces-HQ Dataset (FFHQ) 256x256 艾梦 7枚 CC BY 4.0 计算机视觉 5 119 2021-10-18 详情 相关项目 评论(0) 创建项目 数据集介绍 数据来自互联网, 如果涉及到侵权问题,请联系本人进行删除修改等操作。 文件列表 images256x256.zip images256x256.zip (6950.49M) 下载 File Name Size Update Time ...
Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN): A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) ...
高清人脸图像数据集(Flickr-Faces-HQ) FFHQ 英伟达NVIDIAFlickr人脸数据集高质量人脸图像 该数据集包含70,000张分辨率为1024×1024的高质量PNG图像,并且在年龄,种族和图像背景方面都存在很大差异。它还覆盖了诸如眼镜,太阳镜,帽子等配件。 下载所需积分:免积分下载 ...
This branch is up to date withNVlabs/ffhq-dataset:master. Flickr-Faces-HQ Dataset (FFHQ) Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN): ...
高清人脸数据集Flickr-Faces-HQ_FFHQ\00000-2 人脸数据集,彩色,高清,各种人种,各种年龄。images1024x1024\00000 上传者:u010598525时间:2021-02-04 flickr8k text数据集 flicrk8k 数据集。 用于image caption等相关数据的处理 上传者:weixin_42591985时间:2018-11-20 ...
Flickr-Faces-HQ数据集(FFHQ) Flickr-Faces-HQ(FFHQ)是高质量的人脸图像数据集,最初创建为生成对抗网络(GAN)的基准: 用于生成对抗网络的基于样式的生成器体系结构Tero Karras(NVIDIA),Samuli Laine(NVIDIA),Timo Aila(NVIDIA) 该数据集包含70,000张分辨率为1024×1024的高质量PNG图像,并且在年龄,种族和图像背景...
cabani/MaskedFace-Net master 1Branch 0Tags Code README MaskedFace-Net What is MaskedFace-Net? MaskedFace-Net is a dataset of human faces with a correctly or incorrectly worn mask (133,783 images) based on thedataset Flickr-Faces-HQ (FFHQ). The wearing of the face masks appears as a ...
To find out whether your photo is included in the Flickr-Faces-HQ dataset, pleaseclick this linkto search the dataset with your Flickr username. To get your photo removed from the Flickr-Faces-HQ dataset: Go to Flickr and do one of the following: ...
Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN): A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) ...