FFHQ-Text
Introduced by Shimada in Generative Adversarial Network for Text-to-Face Synthesis and Manipulation with Pretrained BERT Model
FFHQ-Text is a small-scale face image dataset with large-scale facial attributes, designed for text-to-face generation & manipulation, text-guided facial image manipulation, and other vision-related tasks. This dataset is an extension of the NVIDIA Flickr-Faces-HQ Dataset (FFHQ), which is the selected top 760 female FFHQ images that only contain one complete human face.
Papers
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