Artstation-Artistic-face-HQ Dataset (AAHQ)

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Deep Learning aahq-dataset
Overview

Artstation-Artistic-face-HQ Dataset (AAHQ)

teaser

Artstation-Artistic-face-HQ (AAHQ) is a high-quality image dataset of artistic-face images. It is proposed in:

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng
https://arxiv.org/abs/2110.11728
source code: https://github.com/onion-liu/BlendGAN

Images in this dataset are collected from the "portraits" channel of Artstation. Since the original images are subject to copyright, we do not make them available directly. Instead, we provide URLs and associated face landmarks from the dataset. The dataset consists of about 25,000 high-quality artistic images (less than the number in the paper because the original URLs of some images are invalid). It offers a lot of variety in terms of painting styles, color tones and face attributes.

Please notice that this dataset is made available for academic research purpose only. The copyright of the images belongs to the original owners. The dataset itself (including JSON metadata, download script, and documentation) is made available under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. You can use, redistribute, and adapt it for non-commercial purposes, as long as you (a) give appropriate credit by citing our paper, (b) indicate any changes that you've made, and (c) distribute any derivative works under the same license.

If any of the images belongs to you and you would like it removed, please kindly inform us, we will remove it from our dataset immediately.

Caution: Images in AAHQ inherit all the biases of Artstation. Please be careful of unintended societal, gender, racial and other biases when training or deploying models trained on this data.

Prepare dataset

1. download the original images from Artstation (~19G):

python download.py

2. crop and align the images (~24G):

python face_alignment.py

Bibtex

If you use this dataset for your research, please cite our paper:

@inproceedings{liu2021blendgan,
    title = {BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation},
    author = {Liu, Mingcong and Li, Qiang and Qin, Zekui and Zhang, Guoxin and Wan, Pengfei and Zheng, Wen},
    booktitle = {Advances in Neural Information Processing Systems},
    year = {2021}
}

Acknowledgements

We sincerely thank all the reviewers for their comments. We also thank Zhenyu Guo for help in preparing the comparison to StarGANv2. The face alignment code borrows heavily from FFHQ dataset.

Comments
  • download error

    download error

    requests.exceptions.ConnectionError: HTTPSConnectionPool(host='cdnb.artstation.com', port=443) I try some solutions like 'https://blog.csdn.net/weixin_42210687/article/details/103480208', but still not work well. Sorry to bother you that do you know this prob? thanks.

    opened by nzhang258 7
  • How to get URLs from Artstation

    How to get URLs from Artstation

    Thanks for your great work! I think this dataset contributes a lot to the machine learning community and is also useful to me. I am wondering how you collected URLs from a specific channel (e.g., portraits) in Artstation. Can you share your code?

    opened by eveningglow 4
  • Question: why first transform() to large size then resize() to smaller size?

    Question: why first transform() to large size then resize() to smaller size?

    With the default arguments in image_align(), you first transform to a large size (4096x4096) and then resize to a smaller size (1024x1024). Why not just directly transform into the smaller size?

    BTW, thank you so much for this awesome tool!

    opened by peacej 2
  • Several files not found

    Several files not found

    Hi, Thanks for sharing dataset

    I found several (=121) files are not exist while downloading the dataset. Could you share currently not available images?

    I add some not founded urls. You can open it using pickle.

    notfound.txt

    opened by LeeDongYeun 2
  • One image missing and it interrupted the download

    One image missing and it interrupted the download

    I download the dataset several times. It always terminal on the following image:

    FileNotFoundError: [Errno 2] No such file or directory: './raw\033_811_848_4k_elina-mei-rz75hvsungrap8uuohcswbpuqlidf3rxmq7ehpycvqpb5pwzyreu2s3hc7tsqjfns9pekzogzfcevvdzdcrwqyb2kaqidmbzmksxyfnhw1ddfxqa6gmvowbgakw9soj3t4dugditsv7sunzzxakqysinxjd0yxg1xe7bebqatuyvt0mcgl21ejhnwdplxnwtb5oe3uwf.jpg

    opened by kasim0226 1
  • Split into training and evaluation sets

    Split into training and evaluation sets

    Thanks for your great work! I got a question about this dataset.

    When training BlendGAN, did you split AAHQ dataset into training and evaluation sets and use the training set to train?

    opened by eveningglow 0
Owner
onion
GAN, Style Transfer, Image Enhancement, Infrared Image, HDR
onion
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