2 datasets found
  1. h

    ffhq128

    • huggingface.co
    Updated Dec 7, 2023
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    Bugrahan (2023). ffhq128 [Dataset]. https://huggingface.co/datasets/nuwandaa/ffhq128
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 7, 2023
    Authors
    Bugrahan
    Description

    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):

    A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) https://arxiv.org/abs/1812.04948

    The dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of… See the full description on the dataset page: https://huggingface.co/datasets/nuwandaa/ffhq128.

  2. h

    FFHQ

    • huggingface.co
    Updated Mar 3, 2023
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    jxcj_rj_h233 (2023). FFHQ [Dataset]. https://huggingface.co/datasets/student/FFHQ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 3, 2023
    Dataset authored and provided by
    jxcj_rj_h233
    Description

    FFHQ 70000张png图片 链接:https://pan.baidu.com/s/1XDfTKWOhtwAAQQJ0KBU4RQ 提取码:bowj

      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):

    A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) http://stylegan.xyz/paper

    The dataset consists of 70,000 high-quality PNG images… See the full description on the dataset page: https://huggingface.co/datasets/student/FFHQ.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Bugrahan (2023). ffhq128 [Dataset]. https://huggingface.co/datasets/nuwandaa/ffhq128

ffhq128

nuwandaa/ffhq128

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Dec 7, 2023
Authors
Bugrahan
Description

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):

A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) https://arxiv.org/abs/1812.04948

The dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of… See the full description on the dataset page: https://huggingface.co/datasets/nuwandaa/ffhq128.

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