AFHQ

doi:doi:10.57702/8eu94uqn

AFHQ

The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.

BibTex:

@dataset{Yingchen_Yu_and_Fangneng_Zhan_and_Rongliang_Wu_and_Jiahui_Zhang_and_Shijian_Lu_and_Miaomiao_Cui_and_Xuansong_Xie_and_Xian-Sheng_Hua_and_Chunyan_Miao_2024,
    abstract = {The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.},
    author = {Yingchen Yu and Fangneng Zhan and Rongliang Wu and Jiahui Zhang and Shijian Lu and Miaomiao Cui and Xuansong Xie and Xian-Sheng Hua and Chunyan Miao},
    doi = {10.57702/8eu94uqn},
    institution = {No Organization},
    keyword = {'AFHQ', 'Animal', 'Animal Faces', 'Face Recognition', 'GANs', 'Generative Models', 'Image Classification', 'Image-to-Image Translation', 'Non-Animal', 'Single Attribute', 'animal classification', 'animal faces', 'animal images', 'animals', 'cat', 'counterfactual manipulation', 'dog', 'face images', 'fox', 'high-resolution images', 'image editing', 'image segmentation', 'image synthesis', 'image-to-image translation', 'images', 'leopard'},
    month = {dec},
    publisher = {TIB},
    title = {AFHQ},
    url = {https://service.tib.eu/ldmservice/dataset/afhq},
    year = {2024}
}